KERALA TECHNOLOGICAL UNIVERSITY SCHEME AND SYLLABI … · KERALA TECHNOLOGICAL UNIVERSITY SCHEME...

KERALA TECHNOLOGICALUNIVERSITY

SCHEME AND SYLLABI FOR

M. Tech in

APPLIED ELECTRONICS AND

COMMUNICATION SYSTEM

(2015 Admission onwards)

SEMESTER 1

Sl No

Course No09EC61

NameHours / Week Intern

almark

s

End SemesterExam Cr

edits

L T P Marks Duration(hrs)

1. 09EC6111 Mathematics forCommunication Engineering

4 0 0 40 60 3 4

2. 09EC6121 DSP System Design 4 0 0 40 60 3 43. 09EC6131 Advanced Digital

Communication 4 0 0 40 60 3 4

4. 09EC6141 Communication Networks 3 0 0 40 60 3 35. 09EC61 * Elective I 3 0 0 40 60 3 36. 09EC6151 Research Methodology 0 2 0 100 0 0 27. 09EC6161 Seminar 0 0 2 100 0 0 28. 09EC6171 Embedded and Signal

Processing System Lab0 0 2 100 0 0 1

Total 19 1 4 500 300 23

L-Lecture; T-Tutorial; P-Practical;

Elective I09EC6115 : Information Theory 09EC6125 : Adaptive Signal Processing 09EC6135 : System Design using Embedded Processors 09EC6145 : Advanced Optical Communication Systems09EC6155 : Microwave Components and Networks

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SEMESTER II

Sl No

Course No09EC61

NameHours /Week

Internalmarks

End SemesterExam Cr

edits


1.1

09EC6112 Digital System Design 4 0 0 40 60 3 4

2.2

09EC6122 Wireless Communication 3 0 0 40 60 3 3

3.3

09EC6132 Digital MOS Circuits 3 0 0 40 60 3 3

4.4

09EC61 + Elective II 3 0 0 40 60 3 3

5.5

09EC61 ++ Elective III 3 0 0 40 60 3 3

6.6

09EC6162 Mini project 0 0 4 100 0 0 2

7.7

09EC6172 Advanced Communication Lab 0 0 2 100 0 0 1

Total 16 0 6 400 300 19

L-Lecture; T-Tutorial; P-Practical

+ Elective II09EC6116 : Multirate Signal Processing 09EC6126 : Spread Spectrum and CDMA Systems 09EC6136 : Speech and Audio Processing 09EC6146 : Ad Hoc & Sensor Networks09EC6156 : Global positioning systems

++Elective III09EC6166 : Power Electronics09EC6176 : Electronics System design 09EC6186 : ASIC Design09EC6196 : Nano Electronics

SEMESTER IIISl Hours / Internal End Semester

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NoCourse No09EC71

Name Week marks Exam Credits


1. 09EC71 ^ Elective IV 3 0 0 40 60 3 32. 09EC71 ^^ Elective V 3 0 0 40 60 3 33. 09EC7163 Seminar 0 0 2 100 0 3 24. 09EC7183 Master Research Project

Phase I0 0 12 50 0 0 6

Total 6 0 14 230 120 14

L-Lecture; T-Tutorial; P-Practical

ELECTIVE IV

09EC7117: Signal Compression Techniques09EC7127: Biomedical Signal Processing09EC7137: Markov Modeling and Queuing Theory 09EC7147: DSP Algorithms and Architectures 09EC7157: High Performance Networks

ELECTIVE V09EC7167: Linear Systems Theory 09EC7177: Optimization Techniques09EC7187: Secure Communication09EC7197: Information Hiding and Data Encryption

SEMESTER IV

Sl No

Course No NameHours /Week

Internalmarks

End SemesterExam Cr

edits


1. 09EC7184 Master Research Project Phase II

0 0 21 70 30 0 12

Total 0 0 21 70 30 12

EXAMINATION PATTERN

1. Theory Subjects

The examination pattern for all theory subjects is as given below.

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Internal Continuous Assessment: 40 marks

Internal continuous assessment is in the form of periodical tests, assignments, seminarsor a combination of all whichever suits best. There will be two tests per subject. Theassessment details are to be announced to the students, right at the beginning of thesemester by the teacher.

End Semester Examination: 60 marks

2. Laboratory Subjects

The details of the internal assessment for each laboratory subject are as given below.

Mid Term Internal Test 40 Marks

Laboratory Experiments & Viva Voce 10 Marks

Final Internal Test 50 Marks

Total 100 Marks

3. Seminar/ Mini Projects

Seminar shall be evaluated by the evaluation committee based on the relevance of topic,content depth and breadth, communication skill, question answering etc on the powerpoint presentation of the topic by the student.

Mini Projects shall be evaluated by the evaluation committee based on thedemonstration of the project as well as power point presentation of the same.

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SEMESTER I

Course No: 09EC6111 Course Title: MATHEMATICS FOR COMMUNICATION ENGINEERINGCredits: 4-0-0: 4 Year : 2015Pre-requisites: Nil

Objective: This course is intended to provide the necessary Mathematical foundationneeded for the subjects to be dealt with in the program. After the completion of thecourse, the student should have a thorough understanding of Linear Algebra, RandomProcesses and their applications.Syllabus:

Linear Algebra: Vector space, Linear Transformations, Matrix representation of lineartransformations, Random Variables, distributions, Elements of stochastic process,Markov Chains, Continuous time Markov Chains, second order stochastic processes,Spectral Density, linear prediction and filtering.

Course Outcome:

The student will have a thorough understanding of Linear Algebra, RandomProcesses and their applications.

References:1 Kenneth Hoffman and Ray Kunze, Linear Algebra, 2nd Edition, PHI.2 Erwin Kreyszig, Introductory Functional Analysis with Applications, John Wiley

& Sons.3 Irwin Miller and Marylees Miller, John E. Freund’s Mathematical Statistics, 6th

Edition, PHI. 4 S. Karlin & H.M Taylor, A First Course in Stochastic Processes, 2nd edition,

Academic Press, New York. 5 S. M. Ross, Introduction to Probability Models, Harcourt Asia Pvt. Ltd. and

Academic Press. 6 J. Medhi, Stochastic Processes, New Age International, New Delhi. 7 A Papoulis, Probability, Random Variables and Stochastic Processes, 3rd

Edition, McGraw Hill.8 John B Thomas, An Introduction to Applied Probability and Random Processes,

John Wiley & Sons.

Internal continuous assessment: 40 marksi) Two internal tests : 2 x 15 = 30 Marks ii) Tutorials/Assignments = 10 Marks

End semester Examination: 60 marksCOURSE PLAN

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Course No: 09EC6121 Course Title: DSP SYSTEM DESIGNCredits: 4-0-0: 4 Year : 2015Pre-requisites: Nil

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Course No:09EC6111 Title: MATHEMATICS FOR COMMUNICATION ENGINEERING

(L-T-P): 4-0-0 Credits :4

ModuleContact hours

% marksin ESE

Module I: Linear Algebra: Vector spaces, subspaces, Lineardependence, Basis and Dimension, Inner product spaces, Gram‐Schmidt Orthogonalization Procedure, Linear transformations,Kernels and Images , Matrix representation of linear transformation,Change of basis, Eigen values and Eigen vectors of linear operator,Quadratic form.

14 25

Module II: Operations on random variables: Random Variables,Distributions and Density functions, Moments and Momentgenerating function, Multivariate distributions,

7 12

FIRST INTERNAL TEST

Independent Random Variables, Marginal and Conditionaldistributions, Conditional Expectation, Transformation of RandomVariables , Elements of stochastic processes, Classification ofgeneral stochastic processes.

7 13

Module III: Random Processes: Markov Chains ‐ Definition,Examples, Transition Probability Matrices of a Markov Chain,Classification of states and chains, Basic limit theorem, Limitingdistribution of Markov chains. Continuous Time Markov Chains:General pure Birth processes and Poisson processes, Birth anddeath processes, Finite state continuous time Markov chains

14 25

SECOND INTERNAL TEST

Module IV: Second Order Processes: Second Order StochasticProcesses, Linear operations and second order calculus,Stationary processes, Wide sense Stationary processes, Spectraldensity function, Low pass and band pass processes, White noiseand white noise integrals, Linear Predictions and Filtering.

14 25

END SEMESTER EXAMINATION

Objective: The aim of the paper is to introduce to the students the architecturalfeatures as well as the programming aspects of the latest DSPs available in themarket. The students at the end of the course should be able to choose theappropriate processor for a given application environment and should be in a positionto design stand alone systems based on DSPs, given a set of specifications.

Syllabus:Introduction to a popular DSP from Texas Instruments: CPU Architecture - SharcDigital Signal Processor: A popular DSP from Analog Devices - Sharc/ Tiger Sharc/Blackfin (one of them) - Architecture - Digital Signal Processing Applications: FIR andIIR Digital Filter Design (MATLAB) - Current trends: Current trend in Digital SignalProcessor or DSP Controller- Architecture and their applications.

Course Outcome:

Students will have a familiarization of different DSP processors and its architectures.Current trends in MATLAB.

Text Books:

1. Naim Dahnoun, Digital Signal Processing Implementation using theTMS320C6000 DSP Platform, 1st Edition.

2. T.J. Terrel and Lik-Kwan Shark, Digital Signal Processing - A StudentGuide,1st Edition; Macmillan Press Ltd.

3. David J Defatta J, Lucas Joseph G & Hodkiss William S, Digital SignalProcessing: A System Design Approach, 1st Edition, John Wiley

4. Rulf Chassaing, Digital Signal Processing and Application with C6713 andC6416 DSK, Wiley-Interscience Publication

5. Steven K Smith, Newnes, Digital Signal Processing-A Practical Guide forEngineers and Scientists, Elsevier Science.

References:

1. Rulph Chassaing, DSP Applications using 'C' and the TMS320C6X DSK, 1stEdition;

2. Andrew Bateman, Warren Yates, Digital Signal Processing Design, 1st Edition 3. John G Proakis, Dimitris G Manolakis, Introduction to Digital Signal Processing,

2nd Ed. 4. Kreig Marven & Gillian Ewers, A Simple approach to Digital Signal processing,

1st Edition, Wiely Interscience 5. JAMES H. McClellan, Ronald, Schaffer and Mark A. Yoder, DSP FIRST - A

Multimedia Approach, 1st Edition, Prentice Hall 6. Oppenheim A.V and Schafer R.W, Digital Signal Processing, 2nd Edition,

Pearson Edn.

Internal continuous assessment: 40 marks

i) Two internal tests : 2 x 15 = 30 Marks ii) Tutorials/Assignments = 10 Marks

End semester Examination: 60 marks

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COURSE PLAN

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Course No: 09EC61 21 Title: DSP SYSTEM DESIGN


ModuleContacthours

%marksin ESE

Module I Introduction to a popular DSP from Texas Instruments: CPU Architecture - CPU Data Paths and Control - Timers - Internal Data/Program Memory- External Memory Interface - Programming - Instructions Set and Addressing Modes - Code Composer Studio - Code Generation Tools - Code Composer Studio Debug tools – Simulator.

14 25

Module II (14 Hours)Sharc Digital Signal Processor: A popular DSP from Analog Devices - Sharc/ Tiger Sharc/ Blackfin (one of them) - Architecture - IOP Registers - Peripherals

7 13

FIRST INTERNAL TEST

- Synchronous Serial Port - Interrupts - Internal/External/Multiprocessor Memory Space - Multiprocessing - Host Interface - Link Ports. 7 25

Module III (13 Hours)Digital Signal Processing Applications: FIR and IIR Digital Filter Design, Filter Design Programs using MATLAB - Fourier Transform: DFT, FFT programs using MATLAB - Real Time Implementation: Implementation ofReal Time Digital Filters using DSP - Implementation of FFT Applicationsusing DSP - DTMF Tone Generation and Detection.

14 25


Module IV (10 Hours)Current trends: Current trend in Digital Signal Processor or DSP Controller- Architecture and their applications. 14 25


Course No: 09EC61 31 Course Title: ADVANCED DIGITAL COMMUNICATIONCredits: 4-0-0: 4 Year : 2015Pre-requisites: Nil

Objective:

To provide in-depth treatment on methods and techniques in

• Representation of signals and spectra• Formatting, baseband and M-arymodulation/demodulation• Synchronization

Syllabus:

Digital communication system, Pulse amplitude modulation (binary and M-ary, QAM),Continuous phase modulation (QPSK and variants, MSK, GMSK), Coherent and non-coherent demodulation, Optimum rule for ML and MAP detection Performance, Pulseshape design for channels with ISI, Performance: Symbol by symbol detection andBER, Viterbi algorithm, synchronization techniques, Characteristics of fadingchannels, Rayleigh and Rician channels, receiver performance-average SNR, outageprobability.

Course Outcome:

Students will be able to

• Understand the basic theory of digital communications and the most common digital communications techniques

• Understand the working principles of basic building blocks of a digital communication system.

• Identify methods of digital modulation and compare their performance using signal-space analysis.

• Understand and apply suitable digital modulation schemes for various engineering applications and measure the Error Probability

• Understand receiver techniques for detection of a signal in AWGN channel.

TEXTBOOKS:

1. J. G. Proakis and M. Salehi, Fundamentals of Communication Systems,Pearson Education, 2005.

2. S. Haykins, Communication Systems, 5th ed., John wiley, 2008.3. M. K. Simon, S. M. Hinedi and W. C. Lindsey, Digital Communication

Techniques: Signaling and detection, Prentice Hall India, N. Delhi, 1995.4. W. Tomasi, Advanced Electronic Communication Systems, 4th Ed., Pearson

Education, 1998.5. M. K. Simon and M. S. Alouini, Digital Communication over Fading Channels,

2000.

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REFERENCES:

1. Simon Haykin,Digital Communications , 2006, John Wiley & Sons.2. B.P. Lathi,Modern Digital and Analog Communication, 3rd Ed., Oxford

UniversityPress.3. Sklar, Digital Communication, 2E, Pearson Education.4. K.Sam Shanmugham,Digital and Analog Communication Systems, John Wiley

&Sons5. R.E. Ziemer and W.H. Tranter,Principles of Communications, JAICO

PublishingHouse.6. H.Taub and Schilling,Principles of Communication Systems, TMH7. Pierre Lafrance,John G.Proakis,Digital Communications, McGraw Hill.8. Couch, Analog and Digital Communication.5th Ed,PHI




Answer any 6 questions by choosing at least one question from each module.

COURSE PLAN

Course No:09EC6131 Title: ADVANCED DIGITAL COMMUNICATION(L-T-P): 4-0-0 Credits :4

ModuleContacthours

% marksin end

semesterexam

Module I: Digital communication system (description ofdifferent modules of the block diagram), Complex basebandrepresentation of signals, Gram-Schmidt orthogonalizationprocedure. M-ary orthogonal signals, bi-orthogonal signals,simplex signal waveforms.Pulse amplitude modulation (binary and M-ary, QAM), Pulseposition modulation (binary and M-ary), Carrier modulation (M-

14 25

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ary ASK, PSK, FSK, DPSK), Continuous phase modulation(QPSK and variants, MSK, GMSK).

Module II:Coherent and non-coherent demodulation: Matchedfilter, Correlator demodulator, square-law, and envelopedetection.

7 12

FIRST INTERNAL TESTDetector: Optimum rule for ML and MAP detectionPerformance: Bit-error-rate, symbol error rate for coherent andnon-coherent schemes.

7 13

Module III: Pulse shape design for channels with ISI: Nyquistpulse, Partial response signaling (duo binary and modified duobinary pulses), demodulation; Channel with distortion: Designof transmitting and receiving filters for a known channel and fortime varying channel (equalization); Performance: Symbol bysymbol detection and BER, symbol and sequence detection,Viterbi algorithm

14 25

SECOND INTERNAL TESTModule IV: Different synchronization techniques (Early-LateGate, MMSE, ML and spectral line methods).Characteristics offading channels, Rayleigh and Rician channels, receiverperformance-average SNR, outage probability, amount offading and average bit/symbol error rate.

14 25


Course No: 09EC61 41 Course Title: COMMUNICATION NETWORKSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective:

This course provides a deep knowledge on Internet architecture, Quality of service issues in broad band networks, and Statistical multiplexing of communication networks.

Syllabus:

Internet Architecture: Application layer, Transport layer, Network layer, Link Layer-protocol stack. Broadband services and Quality of Service issues in networks-Queuing Disciplines - Weighted Fair Queuing - Random Early Detection -Differentiated Services - Multi protocol Label switching - Discrete time and continuoustime Markov chains- Poisson process- Queuing models for Datagram networks-M/M/1 queuing systems- M/M/m/m queuing models- M/G/1 queue- Mean valueanalysis, Statistical Multiplexing in Communication Networks.

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Course Outcome:

After completing this course the student must demonstrate the knowledge and ability to:

• Independently understand basic computer network technology.

• Understand and explain Data Communications System and its components.

• Identify the different types of network topologies and protocols.

• Enumerate the layers of the OSI model and TCP/IP. Explain the function(s) ofeach layer.

• Identify the different types of network devices and their functions within anetwork

• Understand and building the skills of subnetting and routing mechanisms.

Familiarity with the basic protocols of computer networks, and how they can beused to assist in network design and implementation

References:

1. James. F. Kurose and Keith.W. Ross, “Computer Networks, A top‐downapproach featuring the Internet”, Addison Wesley.

2. D. Bertsekas and R. Gallager, “Data Networks”. 3. S. Keshav, “An Engineering Approach to Computer Networking”, Addison

Wesley 4. Peterson L.L. & Davie B.S., “Computer Networks: A System Approach”,

Morgan Kaufman Publishers. 5. Anurag Kumar, D. Manjunath, and Joy Kuri, Communication Networking: An

Analytical Approach, Morgan Kaufman Publ.





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COURSE PLAN

Course No:09EC6141 Title: COMMUNICATION NETWORKS(L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksin end

semesterexam

Module I: Internet Architecture: Architectural concepts in ISO’s OSIlayered model, layering in the Internet. TCP/IP protocol stack.Transport layer ‐ TCP and UDP. Network layer ‐ IP, routing,internetworking. Data link layer ‐ ARQ schemes, multipleaccess, LANs.

9 25

Module II: Broadband services and QoS issues: Quality of Service issuesin networks ‐ Integrated service architecture ‐ QueuingDisciplines ‐ Weighted Fair Queuing - RandomEarly Detection.

6 13

FIRST INTERNAL TESTDifferentiated Services ‐ Protocols for QS support‐Resourcereservation‐RSVP ‐ Multi protocol Label switching ‐ Real Timetransport protocol.

5 12

Module III: Introduction to Queuing theory: Markov chain ‐ Discrete timeand continuous timeMarkov chains ‐ Poisson process ‐ Queuingmodels for Data gram networks ‐ Little’s theorem ‐ M/M/1queuing systems ‐ M/M/m/m queuing models ‐ M/G/1 queue‐Mean value analysis.

12 25


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Module IV: Statistical Multiplexing in Communication Networks:Multiplexing: Network performance and sourcecharacterization; Stream sessions in packet networks ‐deterministic analysis, stochastic analysis, circuit multiplexednetworks.

10 25


ELECTIVE I

Course No: 09EC6115

Course Title: INFORMATION THEORYCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective:

Gives a detailed concept in Information Theory. Upon completion of this course, thestudent will have a deep understanding of

• Information and its measurement• Various source coding schemes • Concept of Channel capacity for both discrete and continuous channels and

Shannon’s theorems • Rate distortion theory and its applications

Syllabus:

Information and source, Entropy, Mutual and conditional mutual information, source coding techniques, channel capacity, continuous sources and channels, information measures, Rate Distortion Theory, properties.

Course Outcome:

The students will be able to:

• Understand and apply fundamental concepts in informationtheory such as probability, entropy, information content and their inter-relationships.

• Understand the principles of data compression.

• Compute entropy and mutual information of random variables.

• Implement and analyse basic coding and compressionalgorithms.

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• Understand the relationship of information theoretical principlesand Bayesian inference in data modelling and pattern recognition.

• Understand some key theorems and inequalities that quantifyessential limitations on compression, communication and inference.

• Know the basic concepts regarding communications over noisychannels.

References:

1. T. Cover and Thomas, “Elements of Information Theory”, John Wiley & Sons 2. Robert Gallager, “Information Theory and Reliable Communication”, John Wiley

& Sons. 3. R. J. McEliece, “The theory of information & coding”, Addison Wesley Publishing

Co. 4. T. Bergu, “Rate Distortion Theory a Mathematical Basis for Data Compression”

PH Inc. 5. Special Issue on Rate Distortion Theory, IEEE Signal Processing Magazine,

November 1998.


ii) Two internal tests : 2 x 15 = 30 Marks iii) Tutorials/Assignments = 10 Marks



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COURSE PLAN

Course No:09EC6115 Title: INFORMATION THEORY(L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksin end

semesterexam

Module I :Information and Sources: Zero Memory sources ‐ Concepts ofentropy‐Extension of a Zero memory source‐Markovinformation sources ‐ Entropy calculation ‐ Entropy of adiscrete Random variable ‐ Joint, conditional and relativeentropy ‐ Mutual Information and conditional mutualinformation.

10 25

Module II : Source Coding: Uniquely decodable codes ‐ Instantaneouscodes ‐ Kraft’s inequality– McMillan’s inequality‐Averagelength of a code ‐ Optimal codes ‐ Shannon codes - Fanocodes.

5 13

FIRST INTERNAL TESTHuffman Coding –Optimality of Huffman Codes‐Lempel Zivcodes‐Shannon’s source coding theorem–Arithmetic coding.

4 12

Module III : Channel Capacity: Properties‐Data transmission overDiscrete Memoryless Channels‐Capacity of Binary symmetricand Binary Erasure channels‐Computing channel capacity‐Arimoto‐Blahut algorithm‐Fano’s inequality ‐ Shannon’sChannel Coding Theorem

11 25

SECOND INTERNAL TESTModule IV : Continuous Sources and Channels: Information measure forContinuous sources and channels‐Differential Entropy ‐ Joint,relative and conditional differential entropy ‐ Mutualinformation ‐ Waveform channels ‐ Gaussian channels ‐ Mutualinformation and Capacity calculation for Band limitedGaussian channels ‐ Shannon limit.

Rate Distortion Theory: Rate Distortion Function ‐Properties – Calculation of Rate Distortion Function forbinary source Gaussian

12 25

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Course No: 09EC6125 Course Title: : ADAPTIVE SIGNAL PROCESSINGCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective:

• To introduce adaptive systems • To understand the filter design related to adaptive signal processing • To introduce different algorithms to implement adaptive signal processing • Application of adaptive signal processing

Syllabus:

Introduction to Adaptive systems; Wiener – Hopf equation; Searching performance surface-stability and rate of convergence LMS algorithm convergence of weight vector; lattice structure; adaptive filters with orthogonal signals; Applications of filters.

Course Outcome:

Students who successfully complete this course will have demonstrated ability to understand the fundamental concepts of adaptive systems; apply the concepts in filter design related to adaptive signal processing.

References:1. Bernard Widrow and Samuel D. Stearns, Adaptive Signal Processing, Pearson

Education, 2005. 2. Simon Haykin, Adaptive Filter Theory, Pearson Education. 3. John R. Treichler, C. Richard Johnson, Michael G. Larimore, Theory and Design

of Adaptive Filters, Prentice‐Hall of India, 2002 4. S. Thomas Alexander, Adaptive Signal Processing ‐ Theory and Application,

Springer‐Verlag. 5. D. G. Manolokis, V. K. Ingle and S. M. Kogar, Statistical and Adaptive Signal

Processing, Mc Graw Hill International Edition, 2000.

Internal continuous assessment: 40 marksi) Two internal tests : 2 x 15 = 30 Marks ii) Tutorials/Assignments = 10 Marks



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COURSE PLAN

Course No:09EC6125 Title:ADAPTIVE SIGNAL PROCESSING(L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksin end

semesterexam

Module I: Adaptive systems ‐ definitions and characteristics ‐applications ‐ properties ‐ examples ‐ adaptive linear combiner‐input signal and weight vectors ‐ performance function‐gradient and minimum mean square error ‐ introduction tofiltering ‐ smoothing and prediction ‐ linear optimum filtering‐orthogonality ‐ Wiener ‐Hopf equation‐performance surface

11 25

Module II: Searching performance surface‐stability and rate ofconvergence ‐ learning curve ‐ gradient search ‐ Newton’smethod

5 12

FIRST INTERNAL TESTMethod of steepest descent ‐ comparison ‐ gradient estimation

‐ performance penalty ‐ variance ‐ excess MSE and timeconstants ‐ maladjustments 5 13

Module III: LMS algorithm convergence of weight vector‐LMS/Newtonalgorithm ‐ properties ‐ sequential regression algorithm ‐adaptive recursive filters ‐ random‐search algorithms ‐ latticestructure ‐ adaptive filters with orthogonal signals

10 25

SECOND INTERNAL TESTModule IV: Applications‐adaptive modelling and system identification‐adaptive modelling for multipath communication channel,geophysical exploration, FIR digital filter synthesis, inverseadaptive modelling, equalization, and deconvolution‐adaptiveequalization of telephone channels‐adapting poles and zerosfor IIR digital filter synthesis

11 25


Course No: 09EC6135 Course Title: SYSTEM DESIGN USING EMBEDDED PROCESSORSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective:

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• To introduce embedded systems • To understand the Overview of embedded system architecture• To introduce Cortex-M3/M4 Programming: • Application of embedded systems

SyllabusEmbedded Concepts: Introduction to embedded systems, Application Areas, Overview ofembedded system architecture, Overview of Cortex-M3: Cortex-M3 Basics: Registers,General Purpose Registers, Cortex-M3/M4 Programming: Overview, Typical DevelopmentFlow, Using C, Exception Programming: Using Interrupts, Exception/Interrupt Handlers,Cortex-M3/M4 Microcontroller, STM32L15xxx ARM Cortex M3/M4 Microcontroller: Memoryand Bus Architecture.

Course Outcome:

Students who successfully complete this course will have embedded system and its architecture concepts.

TEXT BOOKS:

1. The Definitive Guide to the ARM Cortex-M3, Joseph Yiu, Second Edition, Elsevier Inc. 2010.

2. Embedded/Real Time Systems Concepts, Design and Programming Black Book, Prasad, KVK.

3. David Seal “ARM Architecture Reference Manual”, 2001 Addison Wesley, England; Morgan Kaufmann Publishers

4. Andrew N Sloss, Dominic Symes, Chris Wright, “ARM System Developer's Guide - Designing and Optimizing System Software”, 2006, Elsevier.

REFERENCES:

1. Steve Furber, “ARM System-on-Chip Architecture”, 2nd Edition, Pearson Education

2. Cortex-M series-ARM Reference Manual

3. Cortex-M3 Technical Reference Manual (TRM)

4. STM32L152xx ARM Cortex M3 Microcontroller Reference Manual

5. ARM Company Ltd. “ARM Architecture Reference Manual– ARM DDI 0100E”

6. ARM v7-M Architecture Reference Manual (ARM v7-M ARM).

7. Ajay Deshmukh, “Microcontroller - Theory & Applications”, Tata McGraw Hill

8. Arnold. S. Berger, “Embedded Systems Design - An introduction to Processes, Toolsand Techniques”, Easwer Press

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9. Raj Kamal, “Microcontroller - Architecture Programming Interfacing and System Design” 1st Edition, Pearson Education

10. P.S Manoharan, P.S. Kannan, “Microcontroller based System Design”, 1st Edition, Scitech Publications





COURSE PLAN

Course No: 09EC6135 Title: SYSTEM DESIGN USING EMBEDDEDPROCESSORS


ModuleContacthours

% marksin end

semesterexam

Module I Embedded Concepts: Introduction to embedded systems,Application Areas, Categories of embedded systems,Overview of embedded system architecture, Specialties ofembedded systems, recent trends in embedded systems,

11 25

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Architecture of embedded systems, Hardware architecture,Software architecture, Application Software, CommunicationSoftware, Development and debugging Tools. ARMArchitecture: Background of ARM Architecture, ArchitectureVersions, Processor Naming, Instruction Set Development,Thumb-2 and Instruction Set Architecture. Module II Overview of Cortex-M3: Cortex-M3 Basics: Registers,General Purpose Registers, Stack Pointer, Link Register,Program Counter, Special Registers, Operation Mode,Exceptions and Interrupts, Vector Tables, Stack MemoryOperations, Reset Sequence. Instruction Sets: AssemblyBasics, Instruction List, Instruction Descriptions. Cortex-M3Implementation Overview: Pipeline, Block Diagram, BusInterfaces on Cortex-M3, I-Code Bus, D-Code Bus, SystemBus, External PPB and DAP Bus. Exceptions: ExceptionTypes, Priority, Vector Tables, Interrupt Inputs and PendingBehavior, Fault Exceptions, Supervisor Call and PendableService Call.

5 12

FIRST INTERNAL TESTNVIC: Nested Vectored Interrupt Controller Overview, BasicInterrupt Configuration, Software Interrupts and SYSTICKTimer. Interrupt Behavior: Interrupt/Exception Sequences,Exception Exits, Nested Interrupts, Tail-Chaining Interrupts,Late Arrivals and Interrupt Latency.

5 13

Module III Cortex-M3/M4 Programming: Overview, TypicalDevelopment Flow, Using C, CMSIS (Cortex MicrocontrollerSoftware Interface Standard), Using Assembly. ExceptionProgramming: Using Interrupts, Exception/Interrupt Handlers,Software Interrupts, Vector Table Relocation. MemoryProtection Unit and other Cortex-M3 features: MPURegisters, Setting Up the MPU, Power Management,Multiprocessor Communication.

10 25

SECOND INTERNAL TESTModule IV Cortex-M3/M4 Microcontroller, STM32L15xxx ARM CortexM3/M4 Microcontroller: Memory and Bus Architecture, PowerControl, Reset and Clock Control. STM32L15xxx Peripherals:GPIOs, System Configuration Controller, NVIC, ADC,Comparators, GP Timers, USART. Development &Debugging Tools: Software and Hardware tools like CrossAssembler, Compiler, Debugger, Simulator, In-CircuitEmulator (ICE), Logic Analyzer etc.

11 25


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Course No: 09EC6145 Course Title: ADVANCED OPTICAL COMMUNICATION SYSTEMS

Credits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives:

• To introduce the terminology used in optical fibers• To describe the building blocks of an Optical Fiber system and to give clear

understanding of various components such as Optical fibers, Optical sources,Photo-detectors and fiber amplifiers

• To introduce loss and dispersion management• To introduce coherent and multichannel systems

Syllabus:

Introduction to optical communication: Evolution of Light wave systems, systemcomponents, Dispersion in fibers, fiber losses non-linear effects, Optical Transmitters andReceivers: Transmitters basic concepts, LED's structures, Spectral distributions,semiconductor lasers, Modulation, Transmitter design, PIN and APD diode structures,Advanced Lightwave Systems: Homodyne and heterodyne detectors, MultichannelSystems.

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Course Outcome:

Fundamentals, advantages and advances in optical communication system.Types, basicproperties and transmission characteristic of optical fibers.Knowledge of working andanalysis of optical amplifiers and important parts at the transmitter (Semiconductorlasers/LEDs, modulators etc) as well as at the receiver sides (optical detector etc.) of theoptical communications system.Configuration and architecture of coherent opticalcommunication, advanced system techniques and nonlinear optical effects and theirapplications.

References:

1. G.P.Agrawal, "Fiber Optic Communication Systems", 4th Edition, John Wiley & Sons,2010.

2. John M. Senior, “Optical Fiber Communications –Principles and Practice”, 2nd Edition,Pearson Education, 2009.

3. G. Keiser, "Optical Fiber Communication Systems", 4th edition, Tata McGrawHill. Edition, 2010.

4. Djafar.K. Mynbaev Lowell and Scheiner, "Fiber Optic Communication Technology", Pearson Education Asia, 2009.

5. F.J.H. Franz and V.K. Jain, "Optical Communication System", Narosa Publishing House, New Delhi 2000.





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COURSE PLAN

Course No:09EC6145 Title: ADVANCED OPTICAL COMMUNICATION SYSTEMS(L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksin end

semesterexam

Module IINTRODUCTION TO OPTICAL COMMUNICATION Evolution of Light wave systems, System components, Opticalfibers - Step Index & Graded index - Mode theory, Fiber modes– Dispersion in fibers, Limitations due to dispersion - - FiberLosses Non-linear effects

10 25

Module IIOPTICAL TRANSMITTERS AND RECEIVERS Transmitter’s basic concepts - LED's structures - SpectralDistribution - Semiconductor lasers -Threshold conditions –Single mode semiconductor laser –Laser Characteristics-Modulation

5 12

FIRST INTERNAL TESTTransmitter design Receiver’s basic Concepts - PIN and APD diodes structures- Photo detector Noise- Receiver sensitivity – BER and quantum limit - Receiver design.

5 13

Module III: ADVANCED LIGHTWAVE SYSTEMS Homodyne and heterodyne detectors – Advanced modulationformats - Demodulation schemes - BER in synchronousreceivers - Sensitivity degradation –Systems with the DBPSKformat and DQPSK – System employing Orthogonal FDM.

11 25

SECOND INTERNAL TESTModule IVMULTICHANNEL SYSTEMS

11 25

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WDM systems, multiple access networks - WDM Components - XPM based and FWM based wavelength converters – Fiber based optical regenerator - Hetero wavelength linear crosstalk and homo wavelength Linear Crosstalk – TDM - Code-division multiplexing.


Course No: 09EC6155 Course Title: MICROWAVE COMPONENTS AND NETWORKS

Credits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objectives:

• To introduce the terminology used in microwave engineering.• To familiarize with microwave generations.• To introduce Microwave Semiconductor Devices Microwave bipolar transistor

SyllabusIntroduction to microwaves and applications, advantages of microwaves, time varyingelectric and magnetic fields, electromagnetic field equations, maxwell’s equations for time-varying fields, Microwave Tubes Limitation of conventional tubes, microwave tubes, twocavity klystron, operation of magnetron, Microwave Semiconductor Devices Microwavebipolar transistor, Scattering Matrix Parameters of microwave networks Definition ofscattering matrix, characteristics of S-matrix,

Course Outcome

Students will have idea about microwave range used in various applications, Advantages ofmicrowave communication techniques. Microwave generation techniques.

References:1.“Microwave Engineering” by Prof. GSN Raju, IK International Publishers, 2007 2.“Microwave Engineering” by P.A. Rizzi, PHI, 1999. 3.“Microwave Engineering : Non-reciprocal active and passive circuits” by JosephHelszajin, McGraw Hill, 1992.4.”Electronic communication systems” - Kennedy5. “Electronic communications” - Roody and CoolenInternal continuous assessment: 40 marks



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COURSE PLAN

Course No: 09EC61 55 Title: MICROWAVE COMPONENTS AND NETWORKS(L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksin end

semester exam

Module I Introduction to microwaves and applications, advantages ofmicrowaves, EM spectrum domain, electric and magnetic fieldsstatic electric and magnetic fields, time varying electric andmagnetic fields, electromagnetic field equations, maxwell’sequations for time-varying fields, meaning of maxwell’s equations,characteristics of free space, power flow by microwaves,expression for propagation constant of a microwave in conductivemedium, microwave applications, relation between dB, dBm, dBμ.

10 25

Module IIMicrowave Tubes Limitation of conventional tubes, microwavetubes, velocity modulation, method of producing the velocitymodulation, principle of operation of two cavity klystron.

5 12

FIRST INTERNAL TEST

Reflex klystron principle of operation, velocity modulation in reflexklystron, applegate diagram with gap voltage for a reflex klystron.Principle of operation of magnetron, hull cut-off condition,advantages of slow wave devices, principle of operation of TWT.

11 13

Module III Microwave Semiconductor Devices Microwave bipolar transistor,FET, Principle of Operation and application of tunnel diode,Principle of operation of gunn diode, application of gunn diodeadvantages of gunn diode, salient features of IMATT andTRAPATT diodes, applications of IMATT and TRAPATT diodes,principle of operation of PIN diode, applications of PIN diode.

25

SECOND INTERNAL TESTModule IVWDM systems, multiple access networks - WDM Components - XPM based and FWM based wavelength converters – Fiber based optical regenerator - Hetero wavelength linear crosstalk and homo wavelength Linear Crosstalk – TDM - Code-division multiplexing.

11 25

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Course No: 09EC6151 Course Title: RESEARCH METHODOLOGYCredits: 0-2-0: 2 Year : 2015Pre-requisites: Nil

Objective:

• To give students an insight into the steps to be followed in doing a research

• To provide an idea about technical report writing

Syllabus:

Introduction to Research Methodology; Formulating a Research Problem; Conceptualising aresearch design; Methods of Data Collection; Processing and Analysis of Data; Writing a Research Report; Ethical issues related to publishing; A study of the use of the following tools like Matlab and LaTeX.

Course Outcome:

Students who successfully complete this course will have clear understanding about the steps to be followed in doing research.

Text Books:

1. Ranjit Kumar, “Research Methodology: A Step-by-step Guide for Beginners”, Pearson, Second Edition

2. Kothari, C.R, “Research Methodology : Methods and Techniques”, New age International publishers.


Internal continuous assessment :

Test 1- 30 marks

Test 2- 30 marks

Assignment/Tutorial-40 marks

Total-100marks

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COURSE PLAN

Course No: 09EC61 51 Title: RESEARCH METHODOLOGY(L-T-P): 0-2-0 Credits :2

ModuleContacthours

% marksInternalexam

Module I: Research Methodology: An IntroductionMeaning of Research, Objectives of Research, Motivation inResearch, Applications of Research, Definition of Research,Characteristics of Research, Types of Research, Steps inResearch ProcessFormulating a Research Problem

Reviewing the Literature, Formulating a Research Problem,Identifying Variables, Constructing Hypothesis

7 25

Module II: Conceptualising a research designDefinition of a Research Design, Need for Research Design,Functions of Research Design, Features of a Good DesignMethods of Data Collection

Collection of Primary Data, Observation Method, InterviewMethod, Collection of Data through Questionnaires, Collectionof Data through Schedules

7 25

FIRST INTERNAL TESTModule III: Processing and Analysis of DataProcessing Operations, Elements/Types of Analysis, Statisticsin Research, Measures of Central Tendency, Measures ofDispersion, Measures of Asymmetry (Skewness)Writing a Research ReportResearch writing in general, Referencing, Writing aBibliography, Developing an outlineWriting about a variable

7 25

Module IV:

Interpretation of Data and Paper Writing – Layout of aResearch Paper, Journals in Computer Science, Impact factorof Journals, When and where to publish ?

Ethical issues related to publishing, Plagiarism and Self-Plagiarism

A study of the use of the following tools

Matlab / Simulink

LaTeX/ MS Office

7 25


Course No: 09EC6161 Course Title: SEMINAR

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Credits: 0-0-2: 2 Year : 2015Pre-requisites: Nil

Objective:

This course is intended for

• Increasing the breadth of knowledge• Enhancing the ability of self study• Improving presentation and communication skills • Augmenting the skill of Technical Report Writing.

Students have to register for the seminar and select a topic in consultation with any faculty member offering courses for the programme. A detailed write-up on the topic of the seminaris to be prepared in the prescribed format given by the Department. The seminar shall be of30 minutes duration and a committee with the Head of the department as the chairman andtwo faculty members from the department as members shall evaluate the seminar based onthe coverage of the topic, presentation and ability to answer the questions put forward by the committee

Course outcome:

The students who successfully complete this course will have the capability to

• Understand technical articles in peer reviewed journals and conferences;


Course No: 09EC6171 Course Title: EMBEDDED AND SIGNAL PROCESSING LABCredits: 0-0-2: 1 Year : 2015Pre-requisites: Nil

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Subject Relevance : 10 marks

Concept/ Knowledge in the topic : 20 marks

Presentation : 40 marks

Report : 30 marks

Total marks : 100 marks

Objectives: This course enables the students to explore the concepts of designing andimplementing various systems using Embedded and DSP kits, Simulate and studyvarious systems using suitable software tools.

Tools:Numerical Computing Environments – GNU Octave or MATLAB or any other equivalenttool, DSP Kits, Embedded Kits.

I.Signal Processing Experiments:1. Generation of waveforms and observation of the output using the graphical displayutility of integrated Development Environment (IDE)2. Generation of a sine function and sampling of generated sine waveform. Observationof the spectrum and windowing effect.3. Implementation of linear convolution on 1D and 2D signals.4. Implementation of circular convolution on 1D and 2D signal5. Implementation of FIR filter (Filter coefficients may be obtained from MATLAB)6. Implementation of FIR filter (Filter coefficients may be obtained from MATLAB)7. Verification of FIR and IIR filters by inputting a signal from the signal generator(configure the codec in the DSP development board)8. Implementation of simple algorithms in audio and image processing9. Mini Project- Related to the area of advanced communication /signal processingusing the development kit.

II.Embedded System Experiments (PIC 18F Series/ARM 7)1. LCD Interfacing – Character/Graphic LED2. RS 232C Serial Communication with PC3. I2C Interfacing of memory4. SPI Interfacing of peripheral IC5. GPS Interfacing6. GPRS Modem Interfacing7. RTC Interfacing

Course Outcome:

Students who successfully complete this course will have demonstrated ability to practically implement the DSP algorithms on DSP processor.


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Subject Relevance : 10 marks

Concept/ Knowledge in the topic : 20 marks

Presentation : 40 marks

Report : 30 marks

Total marks : 100 marks

SEMESTER II

Course No: 09EC6112 Course Title: DIGITAL SYSTEM DESIGNCredits: 4-0-0: 4 Year : 2015Pre-requisites: Nil

Objective

• To introduce VHDL and Verilog coding.• To familiarize with Programmable Logic Arrays - Programmable Array Logic.• To introduce to Testing and Diagnosis, Fault modelling.

SyllabusIntroduction to VHDL - Behavioural Modeling- Simulation Deltas - Sequential Processing -

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Analysis of Clocked sequential Networks - sequential parity checker - State tables andgraphs - Programmable LSI Techniques - Programmable Logic Arrays - ProgrammableArray Logic - Sequential PLDs - Introduction to Testing and Diagnosis, Fault modeling :Logical fault models - Fault Detection and Redundancy - BIST Architectures, CompressionTechniques -General aspects - Signature Analysis.

Course outcomeStudents who successfully complete this course will have Digital system and its architectureconcepts.To familiarize with the system programming using VHDL and VERILOG.

References:1. J. Bhasker; A VHDL Primer, Addison-Wesley.2. VHDL for Programmable Logic -Kevin Skahill ,Cypress Semiconductors3. The Designer’s Guide to VHDL -Peter J Ashenden4. VHDL -Douglas V.Perry5. Charles H Roth, Fundamentals of Logic Design, Jaico Publishers6. Charles H. Roth Jr; Digital System Design Using VHDL, PWS Pub. Co.7. Randy H. Katz; Contemporary Logic Design, Benjamin/Cummings Publishing Co.8. Weste and Eshraghian; CMOS VLSI Design, Addison-Wesley



End semester Examination: 60 marksAnswer any 6 questions by choosing at least one question from each module.

COURSE PLAN

Course No: 09EC61 12 Title: DIGITAL SYSTEM DESIGN


ModuleContacthours

% marksInternalexam

Module I Introduction to VHDL - Behavioural Modeling - Transport vsInertial Delay - Simulation Deltas - Sequential Processing -Process Statement - Signal Assignment vs VariableAssignment - Sequential Statements - Data Types -Subprograms and Packages - Predefined Attributes -Configurations - Subprogram Overloading - VHDL synthesis -Design Examples.

14 25

Module II Analysis of Clocked sequential Networks - sequential parity checker - State tables and graphs - General models for sequential networks

7 12

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FIRST INTERNAL TESTDerivations of State Graphs and Tables - sequence detector.Reduction of state Tables State Assignment - SequentialNetwork Design.

7 13

Module III Programmable LSI Techniques - Programmable Logic Arrays -Programmable Array Logic - Sequential PLDs - SequentialCircuit Design using PLDs - Complex Programmable LogicDevices and Field Programmable Gate Arrays - Altera SeriesFPGAs and Xilinx Series FPGAs.

14 25

SECOND INTERNAL TESTModule IV Introduction to Testing and Diagnosis, Fault modeling : Logicalfault models - Fault Detection and Redundancy - FaultEquivalence and Fault Location - Fault Dominance - Singlestuck model - Multiple stuck model - Bridging faults, Design forTestability: Testability -Ad hoc Design - Scan Registers andscan techniques - Boundary scan standards, Built in Self Test:Introduction - Test Pattern generation - Generic Off line BISTArchitectures, Compression Techniques -General aspects -Signature Analysis.

14 25

Course No: 09EC6122 Course Title: WIRELESS COMMUNICATIONCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives: This course gives a thorough treatment of the principles of Wireless Mobilecommunication. Upon completion of the course, the student will have knowledge about

• Different types of fading in wireless channels and their mitigation • Diversity schemes • MIMO channels • Cellular communication systems – GSM and CDMA• Cellular communication standards

SyllabusFading and Diversity: Wireless Channel Models ‐ path loss and shadowing models‐statistical fading models - Selective diversity combining - Fading Channel Capacity:Capacity of Wireless Channels ‐ Cellular Communication: Cellular Networks ‐ Cell splittingand sectoring - Spread spectrum and CDMA: Course OutcomeStudents who successfully complete this course will have idea regarding GSM, CDMA anddiversity schemes.

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References:1. Andrea Goldsmith, “Wireless Communications”, Cambridge University press. 2. Simon Haykin and Michael Moher, “ Modern Wireless Communications”,

Pearson Education. 3. T.S. Rappaport, “Wireless Communication, principles & practice”. 4. G.L Stuber, “Principles of Mobile Communications”, 2nd edition, Kluwer

Academic Publishers. 5. Kamilo Feher, ‘Wireless digital communication’, PHI. 6. R.L Peterson, R.E. Ziemer and David E. Borth, “Introduction to Spread Spectrum

Communication”, Pearson Education. 7. A.J.Viterbi, “CDMA ‐ Principles of Spread Spectrum”, Addison Wesley.




COURSE PLAN

Course No: 09EC61 22Title: WIRELESS COMMUNICATION


ModuleContacthours

% marksInternalexam

Module I Fading and Diversity: Wireless Channel Models ‐ path lossand shadowing models ‐ statistical fading models ‐ Narrowband and wideband Fading models ‐ Review of performanceof digital modulation schemes over wireless channels‐Diversity ‐ Repetition coding and Time Diversity ‐ Frequencyand Space Diversity ‐ Receive Diversity ‐ Concept of diversitybranches and signal paths ‐ Combining methods ‐ Selectivediversity combining ‐ Switched combining ‐ maximal ratiocombining ‐ Equal gain combining ‐ performance analysis forRayleigh fading channels.

11 25

Module II

Fading Channel Capacity: Capacity of Wireless Channels ‐Capacity of flat and frequency selective fading channels ‐Multiple Input Multiple output (MIMO) systems

5 12

FIRST INTERNAL TESTNarrow band multiple antenna system model ‐ ParallelDecomposition of MIMO Channels ‐ Capacity of MIMO

5 13

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Channels.Module III Cellular Communication: Cellular Networks ‐ Multiple Access: FDM/TDM/FDMA/TDMA ‐ Spatial reuse ‐ Co‐channel interference Analysis ‐ Hand over Analysis ‐ Erlang Capacity Analysis ‐ Spectral efficiency and Grade of Service‐Improving capacity ‐ Cell splitting and sectoring

10 25

SECOND INTERNAL TESTModule IV

Spread spectrum and CDMA: Overview of CDMA systems:Direct sequence and frequency hoped systems‐spreadingcodes‐code synchronization‐Channel estimation‐powercontrol‐Multiuser detection ‐ Spread Spectrum MultipleAccess ‐ CDMA Systems ‐ Interference Analysis for Broadcastand Multiple Access Channels‐Capacity of cellular CDMAnetworks ‐ Reverse link power control ‐ Hard and Soft hand offstrategies. Cellular Wireless Communication StandardsSecond generation cellular systems: Brief discussionspecifications on GSM, CDMA, Wideband CDMA, Wi‐Fi, Wi‐max Introduction to multicarrier Communication: OFDM,MCCDMA.

11 25

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Course No: 09EC6132 Course Title: DIGITAL MOS CIRCUITSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective• To introduce MOS transistor (MOST).• To familiarize with CMOS inverters and different MOS Logic circuits.• To introduce NORA logic and adiabatic logic.

SyllabusShort and narrow channel effects in MOS transistor (MOST) - sub threshold current -channel length modulation - MOS inverters - CMOS ring oscillator - MOS logic circuits -BiCMOS logic circuits - Dynamic CMOS logic - NORA logic - true single phase clockdynamic logic - basic ideas of adiabatic logic.

Course OutcomeStudents who successfully complete this course will have idea regarding MOS transistors,CMOS circuits used to design electronics circuits and different logic systems.

References :1. Sung-Mo Kang & Yusuf Leblebici, CMOS Digital Integrated Circuits Analysis &

Design, MGH2. Jacob Baker R., Li H.W. & Boyce D.E., CMOS- Circuit Design, Layouts Simulation,

PHI3. Ken Martin, Digital Integrated Circuit Design, Oxford Univ. Press 4. Rabaey J.M., Digital Integrated Circuits - A Design Perspective, Prentice Hall5. Yuan Taur & Ning T.H., Fundamentals of Modern VLSI Devices, Cambridge

Univ.Press





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COURSE PLAN

Course No: 09EC61 32 Title: DIGITAL MOS CIRCUITS


ModuleContacthours

% marksInternalexam

Module I Short and narrow channel effects in MOS transistor(MOST) – sub threshold current - channel lengthmodulation - drain induced barrier lowering - hot electroneffects - velocity saturation of charge carriers. Scaling ofMOST - constant voltage and constant field scaling - digitalMOSFET model - series connection of MOSFETs.

11 25

Module II

MOS inverters - resistive load - NMOS load - pseudo NMOS and CMOS inverters - calculation of input high and low and output high and low levels

5 12

FIRST INTERNAL TESTPower dissipation - calculation of delay times for CMOSinverter - CMOS ring oscillator - design of super buffer -estimation of interconnect parasitics and calculation ofinterconnect delay.

5 13

Module III

MOS logic circuits - CMOS NOR, NAND, AOI and OAIgates - full adder - SR and JK latches - CMOS latch -transmission gates - simple circuits using TG -basicprinciples of pass transistor logic - voltage boot strapping -BiCMOS logic circuits - BiCMOS inverter with resistivebase pull down and active base pull down - BiCMOSswitching transients - simple gates using BiCMOS.

10 25

SECOND INTERNAL TESTModule IV

Dynamic CMOS logic - precharge/evaluate logic -cascading problem – domino logic- cascading domino logicgates - charge sharing in domino logic – solutions tocharge sharing problem - realisation of simple functionsusing domino logic - NORA logic - true single phase clockdynamic logic - basic ideas of adiabatic logic.

11 25

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ELECTIVE IICourse No: 09EC6116 Course Title: MULTIRATE SIGNAL PROCESSINGCredits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objective: The course focuses on multirate signal processing which is the basic to modern

signal processing. Topics include multirate signal processing material such as decimation,

interpolation, filter banks, polyphase filtering, advanced filtering structures and nonuniform

sampling and the cosine modulated filter banks.

Syllabus

The sampling theorem: sampling at subnyquist rate - Basic Formulations and schemes -M-channel perfect reconstruction filter banks: Uniform band and non uniform filter bank -Paraunitary PR Filter Banks- Filter Bank Properties induced by paraunitarity- CosineModulated filter banks: Cosine Modulated pseudo QMF Bank.

Course outcome

Students got an idea regarding decimation interpolation different filtering methods.

Text Books

1. P.P. Vaidyanathan. Multirate systems and filter banks, Prentice Hall. PTR. 1993.

2. N.J. Fliege. Multirate digital signal processing, John Wiley 1994.

Reference Books

1. Sanjit K. Mitra, Digital Signal Processing: A computer based approach, McGraw Hill.1998. 2. R.E. Crochiere. L. R., Multirate Digital Signal Processing, Prentice Hall. Inc.1983. 3. J.G. Proakis. D.G. Manolakis, Digital Signal Processing: Principles. Algorithms andApplications, 3rd Edn. Prentice Hall India, 1999.





COURSE PLAN

Course No: 09EC61 16 Title: MULTIRATE SIGNAL PROCESSING

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ModuleContacthours

% marksInternalexam

Module I The sampling theorem: sampling at subnyquist rate - BasicFormulations and schemes. Basic Multirate operations:Decimation and Interpolation - Digital Filter Banks- DFTFilter Bank- Identities-Polyphase representation Maximallydecimated filter banks: Polyphase representation - Errors inthe QMF bank- Perfect reconstruction (PR) QMF Bank -Design of an alias free QMF Bank.

11 25

Module II M-channel perfect reconstruction filter banks: Uniform band and non uniform filter bank - tree structured filter bank

5 12

FIRST INTERNAL TESTErrors created by filter bank system-Polyphaserepresentation- perfect reconstruction systems

5 13

Module III Paraunitary PR Filter Banks- Filter Bank Properties inducedby paraunitarity- Two channel FIR paraunitary QMF Bank-Linear phase PR Filter banks- Necessary conditions forLinear phase property- Quantization Effects: -Types ofquantization effects in filter banks. - coefficient sensitivityeffects, dynamic range and scaling.

10 25

SECOND INTERNAL TESTModule IV Cosine Modulated filter banks: Cosine Modulated pseudoQMF Bank- Alias cancellation- phase - Phase distortion-Closed form expression-Polyphase structure- PR Systems.

11 25

09EC61 26

SPREAD SPECTRUM AND CDMASYSTEMS

Hours/Week: Lecture – 3 hours Credits – 3

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Course No: 09EC6126 Course Title: SPREAD SPECTRUM AND CDMA SYSTEMSCredits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objectives: Upon completion of this course, students will have deep insight on spreadspectrum communication systems. The course imparts knowledge about principle ofspread spectrum and use of orthogonal codes, performance of CDMA systems underAWGN and fading channels, use of CDMA systems in cellular communication andimportant CDMA standards.

Syllabus

Introduction to spread spectrum communication- direct sequence spread spectrum,frequency‐hopping and time‐hopping spread spectrum systems- Performance of spreadspectrum system under AWGN- RAKE receiver - Basics of spread spectrum multipleaccess in cellular environments - General aspects of CDMA cellular systems

Course outcome.

Got a brief idea about CDMA communication systems, interference cancellation methodsused in modern communication systems, basics of mobile communication techniques.

References:1. R. L. Peterson, R. Ziemer and D. Borth, “Introduction to Spread Spectrum

Communications,” Prentice Hall. 2. A. J. Viterbi, “CDMA ‐ Principles of Spread Spectrum Communications,” Addison‐

Wesley. 3. Vijay K. Garg, Kenneth Smolik, Joseph E. Wilkes, Applications of CDMA in

Wireless/Personal Communications, Prentice Hall. 4. S. Verdu, “ Multiuser Detection” , Cambridge University Press. 5. M. K. Simon, J. K. Omura, R. A. Scholts and B. K. Levitt, “ Spread Spectrum

Communications Handbook”, McGraw ‐ Hill. 6. Cooper and McGillem, “Modern Communications and Spread Spectrum”

McGraw ‐ Hill. 7. J. G. Proakis, “Digital Communications,” McGraw Hill, 4th ed. 8. S. Glisic and B. Vucetic, “Spread Spectrum CDMA Systems for Wireless

Communications,” Artech House,




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COURSE PLAN

Course No: 09EC61 26 Title: SPREAD SPECTRUM AND CDMASYSTEMS


ModuleContacthours

% marksInternalexam

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Module I Introduction to spread spectrum communication, pulsenoise jamming, low probability of detection, directsequence spread spectrum, frequency‐hopping and time‐hopping spread spectrum systems, correlation functions,spreading sequences ‐ maximal‐length sequences, goldcodes, Walsh orthogonal codes ‐ properties and generationof sequences Synchronization and Tracking: delay lock andtau‐dither loops, coarse synchronization ‐ principles of serialsearch and match filter techniques.

11 25

Module II Performance of spread spectrum system under AWGN, multi‐user Interference, jamming and narrow band interferences Lowprobability of intercept methods,

5 12

FIRST INTERNAL TESToptimum intercept receiver for direct sequence spreadspectrum, Error probability of DS‐CDMA system underAWGN and fading channels, RAKE receiver. 5 13

Module III Basics of spread spectrum multiple access in cellularenvironments, reverse Link power control, multiple cell pilottracking, soft and hard handoffs, cell coverage issues withhard and soft handoff, spread spectrum multiple accessoutage, outage with imperfect power control, Erlang capacityof forward and reverse links. Multi‐user Detection ‐MFdetector, decorrelating detector, MMSE detector.Interference Cancellation: successive, ParallelInterference Cancellation, performance analysis of multiuserdetectors and interference cancellers.

10 25


Module IV (9 Hours)General aspects of CDMA cellular systems, IS‐95 standard,Downlink and uplink, Evolution to Third Generation systems,WCDMA and CDMA‐2000 standards, Principles ofMulticarrier communication, MCCDMA and MC‐DS‐CDMA.

11 25

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Course No: 09EC6136 Course Title: SPEECH & AUDIO PROCESSINGCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives: To study the mechanisms of speech production and various models usedfor speech processing. To provide a knowledge of different coding methods used inspeech and audio processing

Syllabus

Digital models for the speech signal - mechanism of speech production - acoustictheory Speech coding -subband coding of speech - transform coding - channel vocoderigital models for the speech signal - mechanism of speech production - acoustic theory-Speech Transformations - Time Scale Modification - Voice Morphing. Automatic speechrecognition systems- Audio Processing: Non speech and Music Signals - Modeling -Differential transform and subband coding of audio signals & standards

Course outcome.

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Got a brief idea about speech coding techniques, different vocoders, speechtransformation and real time applications of speech coding

Reference books:

1. Rabiner L.R. & Schafer R.W., “Digital Processing of Speech Signals”, PrenticeHall Inc. 2. O'Shaughnessy, D. “Speech Communication, Human and Machine”.Addison - Wesley.3. Thomas F. Quatieri , “Discrete-time Speech Signal Processing: Principles andPractice” Prentice . Hall, Signal Processing Series4. Deller, J., J. Proakis, and J. Hansen. “Discrete-Time Processing of SpeechSignals.” Macmillan. 5. Ben Gold & Nelson Morgan , “ Speech and Audio Signal Processing”, John Wiley& Sons, Inc. 6. Owens F.J., “Signal Processing of Speech”, Macmillan New Electronics 7. Saito S. & Nakata K., “Fundamentals of Speech Signal Processing”, AcademicPress, Inc. 8. Papamichalis P.E., “Practical Approaches to Speech Coding”, TexasInstruments, Prentice Hall 9. Rabiner L.R. & Gold, “Theory and Applications of Digital Signal Processing”,Prentice Hall of India 10.Jayant, N. S. and P. Noll. “Digital Coding of Waveforms: Principles andApplications to Speech and Video. Signal Processing Series”, Englewood Cliffs:Prentice-Hall 11.Thomas Parsons, “Voice and Speech Processing”, McGraw Hill Series 12.Chris Rowden, “Speech Processing”, McGraw-Hill International Limited 13.Moore. B, “An Introduction to Psychology of hearing”Academic Press, London,1997 14.E. Zwicker and L. Fastl, “Psychoacoustics-facts and models”, Springer-Verlag.,1990





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COURSE PLAN

Course No: 09EC61 36 Title: SPEECH & AUDIO PROCESSING (L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksInternalexam

Module I Digital models for the speech signal - mechanism ofspeech production - acoustic theory - lossless tube models- digital models - linear prediction of speech - autocorrelation - formulation of LPC equation - solution of LPCequations - Levinson Durbin algorithm - Levinson recursion- Schur algorithm - lattice formulations and solutions -PARCOR coefficients - Spectral analysis of speech - ShortTime Fourier analysis - filter bank design. AuditoryPerception: Psychoacoustics - Frequency Analysis andCritical Bands – Masking properties of human ear

11 25

Module IISpeech coding -subband coding of speech - transform coding -channel vocoder - formant vocoder – cepstral vocoder - vector quantizer coder- Linear predictive Coder. Speech synthesis - pitch extraction algorithms - gold rabiner pitch trackers - autocorrelation pitch trackers

5 12

FIRST INTERNAL TEST- voice/unvoiced detection - homomorphic speechprocessing - homomorphic systems for convolution -

5 13

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complex cepstrums - pitch extraction using homomorphicspeech processing. Sound Mixtures and Separation -CASA, ICA & Model based separation.

Module IIISpeech Transformations - Time Scale Modification - VoiceMorphing. Automatic speech recognition systems - isolatedword recognition - connected word recognition – largevocabulary word recognition systems - pattern classification- DTW, HMM - speaker recognition systems - speakerverification systems – speaker identification Systems

10 25


Module IVAudio Processing: Non speech and Music Signals -Modeling - Differential transform and subband coding ofaudio signals & standards - High Quality Audio codingusing Psychoacoustic models - MPEG Audio codingstandard. Music Production - sequence of steps in a bowedstring instrument - Frequency rSPonse measurement of thebridge of a violin. Audio Data bases and applications -Content based retrieval.

11 25

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Course No: 09EC6146 Course Title: AD-HOC & SENSOR NETWORKSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives: To study the mechanisms of ad hoc networks and various networkmodels used. To study about various Networking platforms for detecting thenetwork related issues

Syllabus

Mobile ad hoc networking; imperatives, challenges and characteristics- Energyefficient communication in ad hoc networks- The Sensor Network Concept.Introduction, Applications- Collaborative Signal Processing and DistributedComputation-Detection, estimation, classification problems

Course outcome

Students will be aware about network securities and different protocols used

Text Books: 1. S.Basagni & M.Conti, Mobile Ad Hoc Networking, Wiley, 2004 2. C.Perkins, Ad Hoc Networking, Addison Wesley, 2000. Reference Books: 1. C.S. Murthy & B.S. Manoj, AdHoc Wireless Networks, Pearson, 2004. 2. T.Janevski, Traffic Analysis and Design of Wireless IP Networks, Artech House,2009. 3. Ozan K. Tonguz & Gianluigi, Adhoc Wireless Networks, Wiley, 2006





COURSE PLAN

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Course No: 09EC61 46 Title: AD-HOC & SENSOR NETWORKS


ModuleContacthours

% marksInternalexam

Module I Mobile ad hoc networking; imperatives, challenges and characteristics. Bluetooth networks. Routing approaches. Proactive and reactive protocols. Clustering and hierarchical routing. Multipath routing. Security aware routing.

11 25

Module II Energy efficient communication in ad hoc networks. Measuring energy consumption. Power save protocols. Maximum life time routing

5 12

FIRST INTERNAL TESTSecure routing protocols. Intrusion detection. Security considerations in ad hoc sensor networks. Key management. 5 13

Module III The Sensor Network Concept. Introduction, Applications. Deployment and Configuration, Localization and calibration, Coverage and connectivity. Data Gathering-Tree construction algorithms and an Asymptotic capacity, Lifetime optimization formulations, Routing and Querying--Publish/Subscribe mechanisms -Geographic routing-Robustness -Storage and retrieval.

10 25


Module IV (10 Hours)Collaborative Signal Processing and Distributed Computation-Detection, estimation, classification problems-Energy-efficient distributed algorithms, Security-Privacy issues-Attacks and countermeasures.

11 25

Course No: 09EC6156 Course Title: GLOBAL POSITIONING SYSTEMSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives- To study the principle of global positioning systems and satellitecommunication used in various aspects of engineering field

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SyllabusHistory of GPS –BC-4 System –HIRAN –NNSS –NAVSTAR GLONASS and GNSSSystems- Static and Kinematic Positioning- Coordinate Systems –Geo CentricCoordinate System- C/A code; P-code; Y-code; L1, L2 Carrier frequencies –CodePseudo Ranges –Carries Phases- Propagation Media –Multipath –Antenna PhaseCentreCourse outcomeGot an idea regarding global positioning systems and tracking networks satellitesignal signature and navigation systems

References:1.B.Hoffman -Wellenhof, H.Lichtenegger and J.Collins, "GPS: Theory and Practice",4th revised edition, Springer, Wein, New york,19972.A.Leick, "GPS Satellites Surveying", 2nd edition, John Wiley &Sons,NewYork,19953.B.Parkinson, J.Spilker, Jr.(Eds), "GPS: Theory and Applications", Vol.I & Vol.II,AIAA, 370 L'Enfant Promenade SW, Washington, DC 20024, 19964.A.Kleusberg and P.Teunisen(Eds), “GPS for Geodesy”, Springer-Verlag,Berlin,19965.L.Adams, "The GPS -A Shared National Asset”, Chair, National Academy Press,Washington, DC, 1995





COURSE PLAN

Course No: 09EC61 56 Title: GLOBAL POSITIONING SYSTEMS


ModuleContacthours

% marksInternalexam

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Module I History of GPS –BC-4 System –HIRAN –NNSS –NAVSTAR GLONASS and GNSS Systems –GPS Constellation –Space Segment –Control Segment –User Segment –Single and Dual Frequency –Point –Relative –Differential GPS–Static and Kinematic Positioning –2D and 3D –reporting Anti Spoofing (AS); Selective Availability (SA) –DOP Factors.

11 25

Module II Coordinate Systems –Geo Centric Coordinate System –Conventional Terrestrial Reference System –Orbit Description –Keplerian Orbit–Kepler Elements –Satellite Visibility

5 12

FIRST INTERNAL TEST–Topocentric Motion –Disturbed Satellite Motion –PerturbedMotion –Disturbing Accelerations -Perturbed Orbit–TimeSystems –Astronomical Time System –Atomic Time –GPSTime –Need for Coordination –Link to Earth Rotation –Timeand Earth Motion Services

5 13

Module III C/A code; P-code; Y-code; L1, L2 Carrier frequencies –Code Pseudo Ranges –Carries Phases –Pseudo Ranges –Satellite Signal Signature –Navigation Messages andFormats –Undifferenced and Differenced Range Models –Delta Ranges –Signal Processing and ProcessingTechniques –Tracking Networks –Ephemerides –DataCombination: Narrow Lane; Wide Lane –OTFAmbiguity

10 25

SECOND INTERNAL TESTModule IV Propagation Media –Multipath –Antenna Phase Centre –Atmosphere in brief Elements of Wave Propagation –Ionospheric Effects on GPS Observations –Code Delay –PhaseAdvances –Integer Bias –ClockError –Cycle Slip –Noise-Bias –Blunders –Tropospheric Effects on GPS Oberservables –Multipath Effect –Antenna Phase Centre Problems andCorrection.Inter Disciplinary Applications –Crystal Dynamics –GravityField Mapping –Atmospheric Occulation –Surveying –Geophysics –Air borne GPS –Ground Transportation –Space borne GPS –Metrological and Climate Researchusing GPS

11 25

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ELECTIVE III

Course No: 09EC6166 Course Title: POWER ELECTRONICSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives- To study various power electronics devices and its principles

SyllabusReview of line commutated converters, inverters, voltage control & Power factor improvement- Switched - mode rectifier: various Power circuit configurations & wave shaping techniques- Current source inverters: single phase and three phase power circuit configuration and analysis- DC- DC, Converters - principle of operation of buck, boost, buck-boostCourse objectiveStudents will get a detail idea regarding power electronic devices and its principles.

References:

1. N.Mohan,T.M. Undeland & W.P.Robbins, Power Electronics: Converter,

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Applications & Design, John Wiley & Sons.2. M.H. Rashid, Power Electronics, Prentice Hall of India.3. B.K.Bose, Power Electronics & A.C. Drives, Prentice Hall.4. R. Bausiere & G. Seguier, Power Electronic Converters, Springer-Verlag. D.M.Mitchell, DC-DC Switching Regulator Analysis McGraw Hill.





COURSE PLAN

Course No: 09EC61 66 Title: POWER ELECTRONICS


ModuleContacthours

% marksInternalexam

Module I Review of line commutated converters, inverters, voltagecontrol & Power factor improvement. Power Devices: BJT,MOSFET, IGBT & GTOs - operating characteristics and gatedrive requirements and circuits.

11 25

Module II Switched - mode rectifier: various Power circuit configurations &wave shaping techniques. Synchronous link rectifiers: Power circuit configurations, control techniques

5 12

FIRST INTERNAL TEST applications. Inverters: voltage source inverters:- single phase& Six step inverters, voltage control & PWM strategies, andimplementation aspects. Modification of power circuit for Fourquadrant operation.

5 13

Module III (9 Hours) 10 25

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Current source inverters: single phase and three phase powercircuit configuration and analysis. Load commutated inverters:principle of operation, modification of power circuitconfiguration for low frequency operation. Phase Controllers.

SECOND INTERNAL TESTModule IV (10 Hours)DC- DC, Converters - principle of operation of buck, boost,buck-boost, Cuk, flyback, forward, push-pull, half bridge, fullbridge & isolated Cuk Converters, Input & output filter design,multi-output operation of isolated converters, MMF equations.Design of transformers and inductors.

11 25

Course No: 09EC6176 Course Title: ELECTRONICS SYSTEM DESIGNCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives- To study different electronic systems and its design

SyllabusPractical Analog & Mixed Signal Circuit Design Issues and Techniques. Passivecomponents: Understanding and interpreting data sheets and specifications of variouspassive and active components- Practical Logic Circuit Design Issues and Techniques:Understanding and interpreting data sheets & specifications of various CMOS& BiCMOSfamily Logic devices- Electromagnetic Compatibility (EMC): Designing for (EMC), EMCregulations, typical noise path, methods of noise coupling- Balancing & Filtering inElectronic Systems: Balancing, power line filtering, power supply decoupling, decouplingfiltersCourse outcomeStudents will get an idea regarding analog and mixed circuit design issues, practical logiccircuit design issues, electromagnetic compatibility issues

TEXT BOOKS:

1. Electronic Instrument Design, 1st edition; by: Kim R.Fowler; Oxford UniversityPress.

2. Noise Reduction Techniques in Electronic Systems, 2nd edition; by: HenryW.Ott; John Wiley & Sons.

3. Digital Design Principles& Practices, 3rd edition by: John F. Wakerly; PrenticeHall International, Inc.

4. Operational Amplifiers and linear integrated circuits, 3rd edition by: Robert F.Coughlin; Prentice Hall International, Inc

5. Intuitive Analog circuit design by: Mark.T Thompson; Published by Elsevier

54 /116

REFERENCES:

1. Printed Circuit Boards - Design & Technology, 1st edition; by: W Bosshart; TataMcGraw Hill.

2. A Designer’s Guide to Instrumentation Amplifiers; by: Charles Kitchin and LewCounts; Seminar Materials @ http://www.analog.com

3. Errors and Error Budget Analysis in Instrumentation Amplifier Applications; by:Eamon Nash; Application note AN-539@ http://www.analog.com

4. Practical Analog Design Techniques; by: Adolofo Garcia and Wes Freeman;Seminar Materials@ http://www.analog.com

5. Selecting An A/D Converter; by:Larry Gaddy; Application bulletin @http://www.Ti.com

6. Benefits and issues on migration of 5-volt and 3.3 volt logic to lower voltagesupplies; Application note SDAA011A@ http://www.Ti.com

7. JTAG/IEEE 1149.1 deigns considerations; Application note SCTA029@http://www.Ti.com

8. Live Insertion; Application note SDYA012@ http://www.Ti.com9. PCB Design Guidelines For Reduced EMI; Application note SZZA009@

http://www.Ti.comIn addition, National & International journals in the related topics, manufacturer’s devicedata sheets and application notes are to be referred to get practical application orientedinformation.


i) Two internal tests : 2 x 15= 30 Marks ii) Tutorials/Assignments = 10 Marks



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http://www.analog.com/

http://www.Ti.com/

http://www.Ti.com/

http://www.Ti.com/

http://www.Ti.com/

http://www.Ti.com/



COURSE PLAN

Course No: 09EC61 76Title: ELECTRONICS SYSTEM DESIGN


ModuleContacthours

% marksInternalexam

Module I Practical Analog & Mixed Signal Circuit Design Issues andTechniques: Passive components: Understanding andinterpreting data sheets and specifications of variouspassive and active components, non-ideal behavior ofpassive components,. Op amps: DC performance of opamps: Bias, offset and drift. AC Performance of operationalamplifiers: band width, slew rate and noise. Properties of ahigh quality instrumentation amplifier. Design issuesaffecting dc accuracy & error budget analysis ininstrumentation amplifier applications. Isolation amplifierbasics. Active filers: design of low pass, high pass and bandpass filters. ADCs and DACs: Characteristics, interfacing tomicrocontrollers. Selecting an ADC. Power supplies:Characteristics, design of full wave bridge regulated powersupply. Circuit layout and grounding in mixed signal system.

11 25

Module II Practical Logic Circuit Design Issues and Techniques: Understanding and interpreting data sheets & specifications of various CMOS& BiCMOS family Logic devices. Electrical behavior (steady state & dynamic) of CMOS& BiCMOS family logic devices

5 12

FIRST INTERNAL TESTBenefits and issues on migration of 5-volt and 3.3 volt logic tolower voltage supplies. CMOS/TTL Interfacing Basic designconsiderations for live insertion. JTAG/IEEE 1149.1 designconsiderations. Design for testability, Estimating digital systemreliability. Digital circuit layout and grounding. PCB designguidelines for reduced EMI.

5 13

Module III Electromagnetic Compatibility (EMC): Designing for (EMC),EMC regulations, typical noise path, methods of noisecoupling, methods of reducing interference in electronicsystems. Cabling of Electronic Systems: Capacitivecoupling, effect of shield on capacitive coupling, inductive

10 25

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coupling, effect of shield on inductive coupling, effect ofshield on magnetic coupling, magnetic coupling betweenshield and inner conductor, shielding to prevent magneticradiation, shielding a receptor against magnetic fields,coaxial cable versus shielded twisted pair, ribbon cables.Grounding of Electronic Systems: Safety grounds, signalgrounds, single-point ground systems, multipoint-pointground systems, hybrid grounds, functional ground layout,practical low frequency grounding, hardware grounds,grounding of cable shields, ground loops, shield groundingat high frequencies.

SECOND INTERNAL TESTModule IV Balancing & Filtering in Electronic Systems: Balancing,power line filtering, power supply decoupling, decouplingfilters, high frequency filtering, system bandwidth. ProtectionAgainst Electrostatic Discharges (ESD): Static generation,human body model, static discharge, ESD protection inequipment design, software and ESD protection, ESDversus EMC. Packaging & Enclosures of Electronic System:Effect of environmental factors on electronic system(environmental specifications), nature of environment andsafety measures. Packaging’s influence and its factors.Cooling in/of Electronic System: Heat transfer, approach tothermal management, mechanisms for cooling, operatingrange, basic thermal calculations, cooling choices, heat sinkselection.

11 25

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09EC61 86 ASIC DESIGN

Hours/Week: Lecture – 3 hours Credits-3

Course No: 09EC6186 Course Title: ASIC DESIGNCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives- To study different types of ASICS,ASICS Library DesignSyllabusTypes of Asics: Design Flow, Economics of Asics, ASIC Cell Libraries, CMOS LogicCell Data Path Logic Cells, I / O Cells, Cell Compilers.- ASIC Library Design:Transistors as Resistors- System on Chip Design Process: A Canonical SoC Design,SoC Design FlowSoc Verification: Verification Technology Options, Verification Methodology

Course outcomeWill get a clear idea regarding types of ASICS, ASIC library Design, chip designprocess, Soc Verification

References:1. Michael John Sebastian Smith, “Application Specific Integrated Circuits”, PearsonEducation India, 2008.2. Farzad Nekoogar , Faranak Nekoogar & Jeffrey Ebert, “From ASICs to SOCs: APractical Approach”, Prentice Hall, 2009.





COURSE PLAN

Course No09EC61 86 Title: ASIC DESIGN


ModuleContacthours

% marksInternalexam

Module 1 Types of Asics: Design Flow, Economics of Asics, ASIC Cell Libraries, CMOS Logic Cell Data Path Logic Cells, I / O Cells, CellCompilers

11 25

Module 2 (9 hours)ASIC Library Design: Transistors as Resistors, Parasitic Capacitance, Logical Effort Programmable ASIC Design Software

5 12

FIRST INTERNAL TESTDesign System, Logic Synthesis, Half Gate ASIC, ASICConstruction, Floor Planning & Placement, Routing. 5 13

Module 3 (11 hours)System on Chip Design Process: A Canonical SoCDesign, SoC Design Flow, Waterfall Vs. Spiral, Top-DownVs. Bottom-Up, Specification Requirements, Types ofSpecifications, System Design Process, System LevelDesign Issues, Soft IP Vs. Hard IP, Design for TimingClosure, Logic Design Issues, Physical Design Issues,Verification Strategy, On-Chip Buses and Interfaces, LowPower, Manufacturing Test Strategies, MPSoCs,Techniques for Designing MPSoCs

10 25

SECOND INTERNAL TESTModule 4 (9 hours)Soc Verification: Verification Technology Options,Verification Methodology, Verification Languages,Verification Approaches, and Verification Plans. SystemLevel Verification, Block Level Verification, Hardware /Software Co-Verification, and Static Net List Verification.

11 25

Course No: 09EC6196 Course Title: NANO ELECTRONICSCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives- To study the concept of Nano Electronics

Syllabus

Introduction Challenges going to sub-100 nm MOSFETs- MOS Based Devices Novel MOS-based devices- Quantum Structures Quantum structures – quantum wells- Nano DevicesCarbon nanotubes based devicesCourse outcomeStudents will get an idea regarding MOS based devices,quantum structures and nanobased devices

References: 1.Mircea Dragoman & Daniela Dragoman, “Nanoelectronics – Principles & Devices”Artech House Publishers, 2008. 2.Karl Goser, “Nanoelectronics and Nanosystems: From Transistors to Molecular andQuantum Devices”, Springer 2005. 3.Mark Lundstrom & Jing Guo, “Nanoscale Transistors: Device Physics, Modeling andSimulation”, New Age International Pvt. Ltd., 2008.4.Vladimir V. Mitin, Viatcheslav A. Kochelap & Michael A Stroscio, “QuantumHeterostructures”, Cambridge University Press, 1999. 5.S. M. Sze (Ed), “High Speed Semiconductor Devices”,Wiley Interscience, 1990





COURSE PLAN

Course No 09EC61 96 Title: NANO ELECTRONICS


ModuleContacthours

% marksInternalexam

Module 1 Introduction Challenges going to sub-100 nm MOSFETs –Oxide layer thickness, tunneling, power density, non uniformdopant concentration, threshold voltage scaling, lithography,hot electron effects, sub-threshold current, velocitysaturation, interconnect issues, fundamental limits for MOSoperation.

11 25

Module 2 MOS Based Devices Novel MOS-based devices – Multiple gate MOSFETs

5 12

FIRST INTERNAL TESTSilicon-on-insulator, Silicon-on-nothing, FinFETs, verticalMOSFETs, strained Si devices. 5 13

Module 3 Quantum Structures Quantum structures – quantum wells,quantum wires and quantum dots, Single electron devices –charge quantization, energy quantization,Coulombblockade, Coulomb staircase, Bloch oscillations.Heterostructure based devices – Type I, II and IIIheterojunctions, Si-Ge heterostructure, heterostructures ofIII-V and II-VI compounds - resonant tunneling devices.

10 25

SECOND INTERNAL TESTModule 4 Nano Devices Carbon nanotubes based devices – CNFET,characteristics, Spin-based devices – spinFET,characteristics. .

11 25

Course No: 09EC6162 Course Title: MINI PROJECTCredits: 0-0-4: 2 Year : 2015Pre-requisites: Nil

Objective: To apply the concepts introduced in the courses to a moderately complex communication and to have a output

The students can select hardware, software or system level mini projects. The mini

project can be implemented using Microcontroller or DSP or FPGA or RTOS or Network

Simulators (NS2 or NS3) tools which they have studied. A complete product or project can

be selected. The project can be done individually or as a group of two students.


Internal continuous assessment is in the form of evaluation, demonstration, presentationetc. The assessment details are to be announced to the students, right at the beginning ofthe semester by the teacher.

Attendance & Regularity 20 Marks

Evaluation I 30 Marks

Evaluation II 30 Marks

Assessment by Guide 20 Marks

Total 100 Marks

Course No: 09EC6172 Course Title: ADVANCED COMMUNICATION LABCredits: 0-0-2: 1 Year : 2015Pre-requisites: Nil

Objectives: Upon completion, the students will1. Be able to design enlisted experiments and implement using hardware2. Acquire sufficient expertise in simulating these systems using MATLAB3. Be able to design and implement self standing systems of their choice with sufficient

complexity.Tools :Numerical Computing Environments – GNU Octave or MATLAB or any other equivalent tool

Lab:1. Implementation of digital modulation schemes – BASK, BFSK, BPSK. Plot BER vs

Eb / N0. in AWGN channels.2. Performance comparison of QPSK, DPSK, MSK & GMSK.3. Communication over fading channels – Rayleigh fading & Rician fading channels.

4. Comparison of diversity combining techniques – SC, EGC & MRC.5. Simulation of CDMA systems.6. Implementation of Matched filter, Correlation receiver & Equalizer.7. Gram Schmidt Orthogonalization of waveforms.8. Carrier recovery and bit synchronization.9. Implementation of multicarrier communication.10.Plotting Eye pattern.11.Constellation diagram of various digital modulation schemes.

Course Outcome:

Students who successfully complete this course will have the ability to implement major concepts introduced in advanced digital communication.


Mid Term Internal Test 40 Marks

Laboratory Experiments & Viva Voce 10 MarksFinal Internal Test 50 MarksTotal 100 Marks

SEMESTER III

ELECTIVE IV

Course No: 09EC7117 Course Title: SIGNAL COMPRESSION TECHNIQUESCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective:• To familiarize with different coding techniques.• To introduce the concept of rate distortion theory.• To introduce different types of transforms• To familiarize with different data compression standardsSyllabus

Review of Information Theory: The discrete memory less information source- LossyCompression - Mathematical Preliminaries for Lossless Compression -Huffman Coding -Optimality of Huffman codes- Rate distortion theory: Rate distortion functionR(D),Properties of R(D); Calculation of R(D) for the binary source and the Gaussian source-Mathematical Preliminaries for Transforms, Karhunen Loeve Transform- Data Compressionstandards: Zip and Gzip, Speech Compression Standards

Course outcome

Students will get an idea regarding the different coding scheme-different transformations

Text books

1. Khalid Sayood, “Introduction to Data Compression”, Morgan Kaufmann Publishers., Second Edn, 2005.

2. David Salomon, “Data Compression: The Complete Reference”, Springer Publications,4th Edn., 2006.

3. Thomas M. Cover, Joy A. Thomas, “Elements of Information Theory," John Wiley & Sons, Inc., 1991.

Reference books

1. Toby Berger, “Rate Distortion Theory: A Mathematical Basis for Data Compression”, Prentice Hall, Inc., 1971.

2. K.R.Rao, P.C.Yip, “The Transform and Data Compression Handbook”, CRC Press., 2001.

3. R.G.Gallager, “Information Theory and Reliable Communication”, John Wiley & Sons, Inc., 1968.

4. Ali N. Akansu, Richard A. Haddad, “Multiresolution Signal Decomposition: Transforms,Subbands and Wavelets”, Academic Press., 1992

5. Martin Vetterli, Jelena Kovacevic, “Wavelets and Subband Coding”, Prentice Hall Inc., 1995.





COURSE PLAN

Course No 09EC71 17 Title: SIGNAL COMPRESSION TECHNIQUES


ModuleContacthours

% marksInternalexam

Module I: Review of Information Theory: The discrete memorylessinformation source - Kraft inequality; optimal codes Sourcecoding theorem. Compression Techniques - Lossless andLossy Compression - Mathematical Preliminaries forLossless Compression -Huffman Coding - Optimality ofHuffman codes - Extended Huffman Coding – AdaptiveHuffman Coding - Arithmetic Coding - Adaptive Arithmeticcoding, Run Length Coding, Dictionary Techniques -Lempel-Ziv coding, Applications - Predictive Coding -Prediction with Partial Match – Burrows Wheeler Transform,Dynamic Markov Compression.

11 25

Module II: Rate distortion theory: Rate distortion function R(D),Properties of R(D); Calculation of R(D) for the binary source and the Gaussian source, Rate distortion theorem, Converse of the Rate distortion theorem

5 12

FIRST INTERNAL TEST Quantization – Uniform & Non-uniform - optimal and adaptivequantization, vector quantization and structures for VQ,Optimality conditions for VQ, Predictive Coding - DifferentialEncoding Schemes

5 12

Module III: (9 hours)Mathematical Preliminaries for Transforms, Karhunen LoeveTransform, Discrete Cosine and Sine Transforms, DiscreteWalsh Hadamard Transform, Lapped transforms - Transformcoding - Subband coding - Wavelet Based Compression -Analysis/Synthesis Schemes.

10 25

SECOND INTERNAL TESTModule IV: (10 hours)Data Compression standards: Zip and Gzip, SpeechCompression Standards: PCM -G.711, ADPCM G.726, SBCG.722, LD-CELP G.728, CS-ACELP (-A) G.729, MPC-MLQ ,G.723.1, GSM HR VSELP, IS-54 VSELP, IS-96 QCELP,

11 25

Immarsat - B APC, MELP, FS 1015, LPC10, FS1016, CELP,G721. Audio Compression standards: MPEG, Philips PASC,Sony ATRAC, Dolby AC-3, Image Compression standards:JBIG, GIF, JPEG & JPEG derived industry standards, CALIC,SPIHT, EZW, JPEG 2000. Video Compression Standards:MPEG, H.261, H.263 & H264.

Course No: 09EC7127 Course Title: BIOMEDICAL SIGNAL PROCESSINGCredits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objectives: Upon completion of this course, students will have thoroughunderstanding of the various biomedical signals, their processing using standardsignal processing tools, cardio vascular and neurological applications of signalprocessing, modeling of EEG, EEG segmentation and Medical image formats.

SyllabusIntroduction to Biomedical Signals ‐ Examples of Biomedical signals- Concurrent,coupled and correlated processes ‐ illustration with case studies ‐ Adaptive andoptimal filtering- Cardio vascular applications : Basic ECG ‐ Electrical Activity of theheart ‐ ECG data acquisition – ECG parameters & their estimation- NeurologicalApplications : The electroencephalogram ‐ EEG rhythms & waveform‐ categorization of EEG activity ‐ recording techniques ‐ EEG applications ‐ Epilepsy,sleep disorders, brain computer interface. Modeling EEG ‐ linear, stochastic models ‐Non linear modeling of EEG ‐ artifacts in EEG & their characteristics and processing

Model based spectral analysis

Course outcomeStudents will get an idea regarding the biomedical signals, classification of bio medicalsignals,cardio vascular application

References:1.Bruce, “Biomedical Signal Processing & Signal Modeling,” Wiley, 20012.Sörnmo, “Bioelectrical Signal Processing in Cardiac & Neurological Applications”,Elsevier3.Rangayyan, “Biomedical Signal Analysis”, Wiley 2002.4.Semmlow, Marcel Dekker “Biosignal and Biomedical Image Processing”, 20045.Enderle, “Introduction to Biomedical Engineering,” 2/e, Elsevier, 2005 6.D.C.Reddy , “Biomedical Signal Processing: Principles and techniques” , TataMcGraw Hill,





COURSE PLAN

Course No 09EC71 27 Title: BIOMEDICAL SIGNALPROCESSING


ModuleContacthours

% marksInternalexam

Module I Introduction to Biomedical Signals ‐ Examples of Biomedicalsignals ‐ ECG, EEG, EMG ‐ Tasks in Biomedical SignalProcessing ‐ Computer Aided Diagnosis. Origin of biopotentials ‐ Review of linear systems ‐ Fourier Transformand Time Frequency Analysis (Wavelet) of biomedicalsignals ‐ Processing of Random & Stochastic signals ‐spectral estimation – Properties and effects of noise inbiomedical instruments ‐ Filtering in biomedical instruments

11 25

Module II Concurrent, coupled and correlated processes ‐ illustration with case studies ‐ Adaptive and optimal filtering ‐ Modeling of Biomedical signals ‐ Detection of biomedical signals in noise

5 12

FIRST INTERNAL TEST ‐ removal of artifacts of one signal embedded in another‐Maternal‐Fetal ECG ‐ Muscle‐contraction interference. Eventdetection ‐ case studies with ECG & EEG ‐ Independentcomponent Analysis ‐ Cocktail party problem applied to EEGsignals ‐ Classification of biomedical signals

5 12

Module III Cardio vascular applications : Basic ECG ‐ Electrical Activity ofthe heart ‐ ECG data acquisition – ECG parameters & theirestimation ‐ Use of multiscale analysis for ECG parametersestimation ‐ Noise & Artifacts ‐ ECG Signal Processing: BaselineWandering, Power line interference, Muscle noise filtering –QRS detection ‐ Arrhythmia analysis ‐ Data Compression:Lossless & Lossy ‐ Heart Rate Variability – Time Domainmeasures ‐ Heart Rhythm representation ‐ Spectral analysis ofheart rate variability ‐ interaction with other physiologicalsignals.

10 25

SECOND INTERNAL TESTModule IV Neurological Applications : The electroencephalogram ‐EEG rhythms & waveform‐ categorization of EEG activity ‐ recording techniques ‐EEG applications ‐ Epilepsy, sleep disorders, braincomputer interface. Modeling EEG ‐ linear, stochasticmodels ‐ Non linear modeling of EEG ‐ artifacts in EEG &their characteristics and processing ‐ Model based spectral analysis ‐ EEG segmentation ‐

Joint Time‐Frequency analysis- Correlation analysis of EEG channels ‐ coherenceanalysis of EEG channels. Medical Image format ‐ DICOM,HL‐7, PACS.

11 25

Course No: 09EC7137 Course Title: MARKOV MODELING AND QUEUING THEORYCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives: To give an idea of different models used in queuing theory SyllabusStochastic Processes: Renewal Processes - Markov Models: Discrete Time MarkovChain - Transition Probabilities, Communication Classes, Irreducible- Single Class &Multi-class Queuing Networks: Simple Markovian queues- Time Delays and Blockingin Queuing Networks: Time delays in single server queueCourse outcomeWill get an idea about different queuing models, time delays in queuing networks

References:1. Ronald W. Wolff, Stochastic Modeling and The Theory of Queues, Prentice-Hall International, Inc, 1989. 2. Peter G. Harrison and Naresh M. Patel, Performance Modeling of Communication Networks and Computer Architectures, Addison-Wesley, 1992. 3. Gary N. Higginbottom, Performance Evaluation of Communication Networks, Artech House, 19984. Anurag Kumar, D. Manjunath, and Joy Kuri, Communication Networking: An Analytical Approach, Morgan Kaufman Publ. 2004. 5. D. Bertsekas and R. Gallager, Data Networks, Prentice Hall of India, 2001. 6. Ross, K.W., Multiservice Loss Models for Broadband Telecommunication Networks, Springer-Verlag, 1995. 7. Walrand, J., An Introduction to Queueing Networks, Prentice Hall, 1988. 8. Cinlar, E., Introduction to Stochastic processes, Prentice Hall, 1975. 9. Karlin, S. and Taylor, H., A First course in Stochastic Processes, 2nd edition Academic press, 1975.


iii) Two internal tests : 2 x 15 = 30 Marks iv) Tutorials/Assignments = 10 Marks



COURSE PLAN

Course No 09EC71 37 Title: MARKOV MODELING AND QUEUEING THEORY


ModuleContacthours

% marksInternalexam

Module I Stochastic Processes: Renewal Processes - Reward andCost Models, Poisson Process; Point Processes;Regenerative Processes; Renewal Theorems.

11 25

Module II Markov Models: Discrete Time Markov Chain - Transition Probabilities, Communication Classes, Irreducible – Chains

5 12

FIRST INTERNAL TEST Continuous Time Markov Chain - Pure-Jump Continuous-Time Chains, Regular Chains, Birth and Death Process,Semi-Markov Processes.

5 12

Module III Single Class & Multi-class Queuing Networks: SimpleMarkovian queues; M/G/1 queue; G/G/1 queue; Openqueuing networks; Closed queuing networks; Mean valueanalysis; Multi-class traffic model; Service timedistributions; BCMP networks; Priority systems.

10 25

SECOND INTERNAL TESTModule IV (10 hours)Time Delays and Blocking in Queuing Networks: Timedelays in single server queue; Time delays in networks ofqueues; Types of Blocking; Two finite queues in a closednetwork; Aggregating Markovian states.

11 25

Course No: 09EC7147 Course Title: DSP ALGORITHMS AND ARCHITECTURESCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objectives: The evolving field of ASIC design enables the customized design of DSPalgorithms on dedicated chips. This paper introduces systematic approaches formapping algorithms to VLSI architectures. It deals with representation of DSPalgorithms, various techniques to optimize these architectures for various parameterssuch as computation time, hardware, space and power consumption. It also introducesfast DSP algorithms for efficient hardware implementation. SyllabusDSP Algorithm Design: DSP representations (data-flow, control-flow, and signal-flowgraphs, block diagrams)- Circuits and DSP Architecture Design: Fast filtering algorithms(Winograd's, FFT, short- length FIR), re-timing and pipelining - DSP Module Synthesis:Distributed arithmetic (DA) - Parallel algorithms and their dependence: - Databroadcast and pipelining Applications using common DSP algorithms.

Course outcomeStudents will get a knowledge in DSP architectures and programming about DSP systems.References:

1. Sen M.Kuo , Woon-Seng S. Gan, Digal Signal Processors: Architectures, Implementations, and Applications Prentice Hall 2004.

2. Keshab K. Parhi, VLSI Signal Processing Systems, Design and Implementation, John Wiley & Sons,1999.

3. Uwe Meyer-Baese, Digital Signal Processing with Field Programmable Gate Array, Springer- Verlag 2001

4. John G. Proakis , Dimitris Manolakis K, DSP Principles, Algorithms and Applications, Prentice Hall 1995

5. Pirsch, Architectures for Digital Signal Processing, John Wiley and Sons, 1998. 6. Lars Wanhammar, DSP Integrated Circuits, Academic Press, 1999 7. Parhami, Behrooz, Computer Arithmetic: Algorithms and Hardware Designs,

Oxford University Press, 2000 8. Israel Koren, A. K. Peters, Natick, Computer Arithmetic Algorithms, MA, 2002





COURSE PLAN

Course No 09EC71 47 Title: DSP ALGORITHMS AND ARCHITECTURES


ModuleContacthours

% marksInternalexam

Module I DSP Algorithm Design: DSP representations (data-flow, control-flow, and signal-flow graphs, blockdiagrams),fixed-point DSP design (A/D precision, coefficientquantization, round-off and scaling), filter structures(recursive, non-recursive and lattice), algorithmic simulationsof DSP systems in C, behavioral modeling in HDL. Systemmodeling and performance measures.

11 25

Module II Circuits and DSP Architecture Design: Fastfiltering algorithms (Winograd's, FFT, short- length FIR), re-timing and pipelining, block processing, folding, distributedarithmetic architectures,

5 12

FIRST INTERNAL TEST VLSI performance measures (area, power, and speed),structural modeling in VHDL. Analog signal processing forfast operation. Impact of non ideal characteristics of analogfunctional blocks on the system performance.

5 12

Module III DSP Module Synthesis: Distributed arithmetic(DA). Advantageous of using DA. Size reduction of look-uptables. Canonic signed digit arithmetic. Implementation ofelementary functions Table-oriented methods. Polynomialapproximation Random number generators. Linear feedbackshift register. High performance arithmetic unit architectures(adders, multipliers, dividers), bit-parallel, bit-serial, digit-serial, carry-save architectures, redundant number system,modeling for synthesis in HDL, synthesis place-and-route.

10 25

SECOND INTERNAL TESTModule IV Parallel algorithms and theirdependence:Applications to some common DSP algorithms.System timing using the scheduling vector. Projection of thedependence graph using a projection direction. The delayoperator and z-transform techniques for mapping DSPalgorithms onto processor arrays. Algebraic technique formapping algorithms. The computation domain. Thedependence matrix of a variable. The scheduling andprojection functions. Data broadcast and pipeliningApplications using common DSP algorithms.

11 25

Course No: 09EC7157 Course Title: HIGH PERFORMANCE NETWORKSCredits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objective• To study about different network topology• To study about ATM TRAFFIC MANAGEMENT• To study about different packet techniques.

SyllabusHigh Speed LAN Fast Ethernet Technology - ISDN : Overview Of ISDN - asynchronoustransfer mode networks- ATM traffic management - ATM signaling and datacommunication over ATM - LAN emulation over ATM, performance of datacommunication over ATM.

Course outcome• Students will learn about different network topologies.• Traffic managements and its solutions

References:1. Onvural.R.O., “Asyncronous Transfer Mode Networks – Performance Issues”, 2ndEdition, Artech House2. Stallings.W, “High Speed Networks, TCP/IP and ATM Design Principles”, PHI3. Craig Partridge, “Gigabit Networking”, Addison Wesley4. Stallings, “ISDN–B ISDN with Frame Relay and ATM”, 4th Edition, PHI





COURSE PLAN

Course No 09EC71 57 Title: HIGH PERFORMANCE NETWORKS (L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksInternalexam

Module I HIGH SPEED LAN : Fast Ethernet technology, FDDI,SONET and SDH standards, performance of high speedLAN – Throughput, delay and reliability, wavelength divisionmultiplexed LAN – Routing and switching in WDM networks,Gigabit LAN.

11 25

Module II ISDN : Overview of ISDN – user interface, architecture andstandards, packet switched call over ISDN,B and Dchannels

5 12

FIRST INTERNAL TEST Link access procedure (LAPD),ISDN layered architecture,signaling, limitations of Narrow band ISDN(N-ISDN) andevolution of Broadband ISDN(B- ISDN).

5 12

Module III ASYNCHRONOUS TRANSFER MODE NETWORKS : TMprotocol architecture, ATM adaption layer, fast packetswitching techniques and VP/VC encapsulation, sourcecharacteristics.

10 25

SECOND INTERNAL TESTModule IV (11 Hours)ATM TRAFFIC MANAGEMENT: Traffic managementissues in ATM- resource management, connectionmanagement, policing and reactive control principles,discrete time queue analysis and application to CAC, leakybucket and ECN/ICN.ATM SIGNALING AND DATA COMMUNICATION OVERATM : ATM signaling fundamentals and Meta signaling,TCP/IP over ATM, challenges and proposals, LANemulation over ATM, performance of data communicationover ATM.

11 25

ELECTIVE V

Course No: 09EC7167 Course Title: LINEAR SYSTEMS THEORYCredits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objectives: Upon completion of this course, the students will have deep knowledgeand insight on vector space representation of signals, bases, orthonormal bases,analysis of linear systems, eigen values and eigen vectors, infinite dimensional vectorspaces and Hilbert spaces.

SyllabusFinite Dimensional Signal Space: Vector Spaces - Linear Systems : Linear Maps :‐Definitions and Examples - Linear Systems : Operators on Inner‐Product Spaces - Selfadjoint operators and Hermitian matrices. Projections and idempotent matrices-Rotations and unitary matrices - Infinite Dimensional Signal Spaces - Normal andUnitary operators, Projections.

Course outcome

students will be aware about vector space representation, Hilbert spaces and

dimensional vector spaces.

References:1. Sheldon Axler, Linear Algebra Done Right, Springer 2. G. F. Simmons, Introduction to Topology and Modern Analysis, Tata McGraw Hill. 3. Paul R. Halmos, Finite‐Dimensional Vector Spaces, Springer 4. Todd K. Moon and Wynn C. Stirling, Mathematical Methods and Algorithms for

Signal Processing, Pearson 5. Arch W. Naylor and George R. Sell, Linear Operator Theory in Engineering and 6. Science, Springer 7. Peter D. Lax, Linear Algebra, Wiley Students Edition. 8. Michael W. Frazier, An Introduction to Wavelets Through Linear Algebra, Springer.




COURSE PLAN

Course No 09EC71 67 Title: LINEAR SYSTEMS THEORY (L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksInternalexam

Module I Finite Dimensional Signal Space: Vector Spaces :‐Complex Numbers, Definition of Vector Space, Propertiesof Vector Spaces, Subspaces, Sums and Direct Sums,Span and Linear Independence, Bases, Dimension Inner‐Product Spaces : ‐ Inner Products, Norms, OrthonormalBases, Orthogonal Projections and Minimization Problems,Linear Functionals and Adjoints Some Important Bases :‐Standard Ordered Bases, DFT Bases, DCT Bases.

11 25

Module II Linear Systems : Linear Maps : ‐ Definitions and Examples,

5 12

Null Spaces and Ranges, The Matrix of a Linear Map,Invertibility

FIRST INTERNAL TEST Eigenvalues and Eigenvectors: ‐ Invariant Subspaces,Polynomials Applied to Operators, Upper‐TriangularMatrices, Diagonal Matrices, Invariant Subspaces on RealVector Spaces

5 12

Module III Linear Systems : Operators on Inner‐Product Spaces :‐Self‐Adjoint and Normal Operators, The Spectral Theorem,Normal Operators on Real Inner‐Product Spaces, PositiveOperators, Isometries, Polar and Singular‐ValueDecompositions. Some Important Classes of LinearSystems : ‐ Shift Invariant systems and Toeplitz matrices.Operators and square matrices. Self adjoint operators andHermitian matrices. Projections and idempotent matrices.Rotations and unitary matrices.

10 25

SECOND INTERNAL TESTModule IV Infinite Dimensional Signal Spaces : Metric Spaces :‐Definition, Convergence and Completeness. Hilbert spaces: ‐ Introduction [Ref 3, Appendix]. l2 and L2 spaces.Definition and some properties. Orthogonal Complements,Orthonormal Sets, Fourier Expansion. Conjugate Space,Adjoint of an Operator, Self Adjoint Operators, Normal andUnitary operators, Projections.

11 25

Course No: 09EC7177 Course Title: OPTIMIZATION TECHNIQUESCredits: 3-0-0: 3 Year : 2015

Pre-requisites: Nil

Objectives: The aim of this course is to expose students to various deterministicoptimization tools and techniques. The course generally covers topics such as: anoverview of mathematical modeling, linear and non linear programming and variousconstrained & unconstrained optimization techniques which will be useful forengineering applications.

Syllabus

Mathematical Background: Sequences and Subsequences- Mapping and functions-Continuous functions - Linear Programming: Introduction -Optimization model, formulationand applications -Classical optimization techniques - Nonlinear Programming: Minimizationand maximization of convex functions- Local & Global optimum - Nonlinear Programming:Minimization and maximization of convex functions.

Course outcome

Students will get an idea regarding different optimization techniques.

References:

1. David G Luenberger, Linear and Non Linear Programming, 2nd Ed, Addison-Wesley.

2. S.S.Rao, Engineering Optimization.; Theory and Practice; Revised 3rd Edition,New Age International Publishers, New Delhi

3. S.M. Sinha, Mathematical programming: Theory and Methods, Elsevier, 2006. 4. Hillier and Lieberman Introduction to Operations Research, McGraw-Hill, 8th

edition, 2005. 5. Saul I Gass, Linear programming, McGraw-Hill, 5th edition, 2005. 6. Bazarra M.S., Sherali H.D. & Shetty C.M., Nonlinear Programming Theory and

Algorithms, John Wiley, New York, 1979. 7. Kalyanmoy Deb, Optimization for Engineering: Design-Algorithms and Examples,

Prentice Hall (India), 1998.




COURSE PLAN

Course No 09EC71 77 Title: OPTIMIZATION TECHNIQUES (L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksInternalexam

Module IMathematical Background: Sequences and Subsequences-Mapping and functions- Continuous functions- Infimum andSupremum of functions- Minima and maxima of functions-Differentiable functions. Vectors and vector spaces-Matrices-Linear transformation- Quadratic forms- Definite quadraticforms- Gradient and Hessian- Linear equations- Solution of aset of linear equations -Basic solution and degeneracy.Convex sets and Convex cones-Introduction and preliminarydefinition- Convex sets and properties- Convex Hulls-Extreme point- Separation and support of convex sets-Convex Polytopes and Polyhedra- Convex cones- Convexand concave functions- Basic properties- Differentiableconvex functions- Generalization of convex functions.

11 25

Module II Linear Programming: Introduction -Optimization model,formulation and applications -Classical optimizationtechniques: Single and multi variable problems-Types ofconstraints. Linear optimization algorithms: The simplexmethod -Basic solution and extreme point –Degeneracy

5 12

FIRST INTERNAL TEST The primal simplex method -Dual linear programs - Primal,dual, and duality theory - The dual simplex method -Theprimal-dual algorithm-Duality applications. Post optimization

5 12

problems: Sensitivity analysis and parametric programmingModule III Nonlinear Programming: Minimization and maximization ofconvex functions- Local & Global optimum - Convergence-Speed of convergence. Unconstrained optimization: Onedimensional minimization - Elimination methods: Fibonacci &Golden section search - Gradient methods - Steepestdescent method. Constrained optimization: Constrainedoptimization with equality and inequality constraints. Kelley'sconvex cutting plane algorithm - Gradient projection method- Penalty Function methods.

10 25

SECOND INTERNAL TESTModule IV Constrained optimization: Lagrangian method - Sufficiencyconditions - Kuhn-Tucker optimality conditions- Rate ofconvergence - Engineering applications Quadraticprogramming problems-Convex programming problems.

11 25

Course No: 09EC7187 Course Title: SECURE COMMUNICATIONCredits: 3-0-0: 3 Year : 2015Pre-requisites: Nil

Objective

Objectives: The aim of this course is to expose students to various securitytechniques. The course generally covers topics such as: an overview ofcryptographic algorithm. Syllabus

Rings and fields - Homomorphism- Euclidean domains - Basic encryption techniques - Concept of cryptanalysis - Shannon’s theory - Private key and Public key cryptosystems - One way functions - Discrete log problem – Factorization problem - RSA encryption - Ellipticcurves - Basic theory - Weirstrass equation - Group law - Point at Infinity - Elliptic curves over finite fieldsCourse outcomeStudents will be aware about the latest trends in secure communication and various cryptographic algorithms.

References:1. Douglas A. Stinson, “Cryptography, Theory and Practice”, 2nd edition, Chapman& Hall, CRC Press Company, Washington2. William Stallings, “Cryptography and Network Security”, 3rd edition, Pearson Education3. Lawrence C. Washington, “Elliptic Curves”, Chapman & Hall, CRC Press Company,

Washington.4. David S. Dummit, Richard M. Foote, “ Abstract Algebra”, John Wiley & Sons5. Evangelos Kranakis, “ Primality and Cryptography”, John Wiley & Sons6. Rainer A. Ruppel, “ Analysis and Design of Stream Ciphers”, Springer Verlag





COURSE PLAN

Course No 09EC71 87 Title: SECURE COMMUNICATION


ModuleContacthours

% marksInternalexam

Module 1Rings and fields - Homomorphism- Euclidean domains -Principal Ideal Domains - Unique Factorization Domains --Field extensions- Splitting fields - Divisibility- Euler theorem -Chinese Remainder Theorem – Primality.

11 25

Module II Watermarking in spatial domain ‐ Additive methods, spreadspectrum based methods ‐ Steganography in spatial domain

‐ Information theoretic approach for watermarking ‐Watermarking and steganography in frequency domain

5 12

FIRST INTERNAL TESTBased on Discrete cosine transform, Discrete Wavelettransform and Contourlet transform ‐ different methods ‐Comparison between frequency domain and spatial domainmethods

5 12

Module III

Watermark detection – Operating characteristics ‐ Recovery ofembedded data ‐ Blind and non blind methods – Qualityevaluation of data hidden images, audio and video. Qualityevaluation with and without reference – Watermark securitysecurity requirements - watermark security and cryptography –some significant known attacks - steganalysis – statistical basedtechniques for steganalysis.

10 25

SECOND INTERNAL TESTModule 4: (10 Hours)Elliptic curves - Basic theory - Weirstrass equation - Group law- Point at Infinity - Elliptic curves over finite fields - Discretelogarithm problem on EC - Elliptic curve cryptography - DiffieHellmann key exchangeover EC - Elgamal encryption over EC– ECDSA.

11 25

Course No: 09EC7197Course Title: INFORMATION HIDING AND DATA ENCRYPTIONCredits: 3-0-0: 3 Year : 2015

Pre-requisites: NilObjectives: This course deals with the principles and implementation of securecommunication. It extensively covers cryptography, steganography, their methods and

applications.

SyllabusInformation security – Digital rights management – copy right protection -Watermarking in spatial domain ‐ Additive methods, spread spectrum based methods‐Steganography in spatial domain - Watermark detection – Operating characteristics ‐Recovery of embedded data ‐ Blind and non blind methods – Difference betweensteganography and cryptography ‐ Encryption and decryption for Watermarks.

Course outcomeStudied various encryption schemes and obtain a clear idea about watermarking inboth special and time domain.

References:

1. Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, Ton Kalker“Digital Watermarking and Steganography, 2nd Ed., Morgan Kaufman Publishers2. Fundamentals of Digital Image Watermarking Book Description, John Wiley &Sons Fernando Perez Gonzalez, Sviatoslav Voloshynovskiy 3. Fabien Petitcolas Stefan Katzenbeisser Information Hiding Techniques for Steganography and Digital Watermarking, Artech publihsers 4. Wang, F. Pan, J. Jain, L. C. Innovations in Digital Watermarking Techniques,Springer





COURSE PLAN

Course No 09EC71 97 Title: INFORMATION HIDING ANDDATA ENCRYPTION (L-T-P): 3-0-0 Credits :3

ModuleContacthours

% marksInternalexam

Module I Information security – Digital rights management – copy right protection ‐ Information integration ‐ Digital watermarking and steganography ‐ difference between watermarking and steganography –Classification, applications in content authentication, medical images, audio and video – requisites of watermarking and steganography – data hiding capacity, robustness and imperceptibility ‐Watermarking with side information ‐ fragile watermark – benchmark for watermarking – data hiding in text.

11 25

Module 2Basic encryption techniques - Concept of cryptanalysis -Shannon sʹ theory - Perfect secrecy - Block ciphers -Cryptographic algorithms

5 12

FIRST INTERNAL TEST Features of DES - Stream ciphers - Pseudo randomsequence generators – linear complexity - Non-linearcombination of LFSRs - Boolean functions.

5 12

Module 3Private key and Public key cryptosystems - One wayfunctions - Discrete log problem – Factorization problem -RSA encryption - Diffie Hellmann key exchange - Messageauthentication and hash functions -Digital signatures -Secret sharing - features of visual cryptography - otherapplications of cryptography

10 25

SECOND INTERNAL TESTModule 4Difference between steganography and cryptography ‐Encryption and decryption for Watermarks ‐ Embedding andExtraction Procedures – Image hashing ‐ Watermarking withVisual Cryptography ‐ Analysis of different methods.

11 25

Course No: 09EC7163Course Title: SEMINARCredits: 0-0-2: 2 Year : 2015Pre-requisites: Nil

Objective: To assess the debating capability of the student to present a technicaltopic. Also to impart training to students to face audience and present their ideasand thus creating in them self esteem and courage that are essential for engineers.

Individual students are required to choose a topic of their interest fromEmbedded Systems related topics preferably from outside the M.Tech syllabus andgive a seminar on that topic about 15 minutes. A committee consisting of at leastthree faculty members (preferably specialized in Embedded Systems) shall assessthe presentation of the seminar and award marks to the students.

Each student shall submit two copies of a write up of his/her seminar topic.One copy shall be returned to the student after duly certifying it by the chairman ofthe assessing committee and the other will be kept in the departmental library.Internal continuous assessment marks are awarded based on the relevance of thetopic, presentation skill, quality of the report and participation.

Course outcome:

The students who successfully complete this course will have the capability to

• Understand technical articles in peer reviewed journals and conferences;• Analyze and present advanced topics in signal processing.


Mark Distribution

Subject Relevance 10 marks

Concept/ Knowledge in the topic 20 marks

Presentation 40 marks

Report 30 marks

Total marks 100 marks

Course No: 09EC7183 Course Title: MASTER RESEARCH PROJECT PHASE-ICredits: 0-0-12: 6 Year : 2015Pre-requisites: Nil

Objective: To improve the professional competency and research aptitude bytouching the areas which otherwise not covered by theory or laboratory classes. Theproject work aims to develop the work practice in students to apply theoretical andpractical tools/techniques to solve real life problems related to industry and currentresearch.

The project work can be a design project/experimental project and/orcomputer simulation project on any of the topics in electronics design related topics.The project work is allotted individually on different topics. The students shall beencouraged to do their project work in the parent institute itself. If found essential,they may be permitted to continue their project outside the parent institute, subject tothe conditions of M.Tech regulations. Department will constitute an EvaluationCommittee to review the project work. The Evaluation committee shall be headed bythe head of the department with two other faculty members in the area of the project,of which one shall be the project supervisor.

For this a committee

The student is required to undertake the master research project phase 1during the third semester and the same is continued in the 4thsemester (Phase 2).Phase 1 consist of preliminary thesis work, two reviews of the work and thesubmission of preliminary report. First review would highlight the topic, objectives,methodology and expected results. Second review evaluates the progress of thework, preliminary report and scope of the work which is to be completed in the 4th

semester. The Evaluation committee consists of at least three faculty members ofwhich internal guide and another expert in the specified area of the project shall betwo essential members.

Course outcome:

The students who successfully complete this course will have the demonstrated capability to

• Formulate a research problem and perform literature review• systematically carrying out a research and write technical reports

Internal Continuous assessment:

Supervisor/ Guide Evaluation Committee

Project Review 20 Marks 30 Marks

SEMESTER IV

Course No: 09EC7184Course Title MASTER RESEARCH PROJECT PHASE-IICredits: 0-0-21: 12 Year : 2015Pre-requisites: Nil

Objective: To improve the professional competency and research aptitude bytouching the areas which otherwise not covered by theory or laboratory classes. Theproject work aims to develop the work practice in students to apply theoretical andpractical tools/techniques to solve real life problems related to industry and currentresearch.

Master Research project phase II is a continuation of project phase I started inthe third semester. There would be two reviews in the fourth semester, first in themiddle of the semester and the second at the end of the semester. First review is toevaluate the progress of the work, presentation and discussion. Second reviewwould be a pre-submission presentation before the evaluation committee to assessthe quality and quantum of the work done. This would be a pre qualifying exercisefor the students for getting approval by the departmental committee for thesubmission of the thesis. At least one technical paper is to be prepared for possiblepublication in journal or conferences. The technical paper is to be submitted alongwith the thesis.

The final evaluation of the project will be external evaluation. This shall bedone by a committee constituted for the purpose by the principal of the college. Theconcerned head of the department shall be the chairman of this committee. It shallhave two senior faculty members from the same department, project supervisor andthe external supervisor, if any, of the student and an external expert either from anacademic / R&D organization or from Industry as members.

Course outcome:The students who successfully complete this course will have the demonstrated capability to

• Formulate a research problem in signal processing area• systematically carrying out a research • Write technical reports and research publications

Internal Continuous assessment:

Supervisor/ Guide External Expert Evaluation Committee

Project Review 30 Marks 30 Marks 40 Marks

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