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DIGITAL SIGNAL PROCESSING

Date post: 14-Aug-2015
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PRIYADARSHINI BHAGWATI COLLEGE OF ENGINEERING PRESENTED BY: Snehal Hedau (EC) A Presentation On Digital Signal Processing
Transcript

PRIYADARSHINI BHAGWATI COLLEGE OF ENGINEERING

PRESENTED BY: Snehal Hedau (EC)

A Presentation

On

Digital Signal Processing

PRESENTATION OUTLINE

Introduction to DSP. Principles and operation of

DSP. Advantages and disadvantages

of DSP. Applications. Conclusion.

SIGNAL

What is Signal??Ans: Any physical phenomenon that carries or

convey information from one place to other and represents as a function of independent variables such as time, distance, etc.

WHAT IS SIGNAL PROCESSING?

SIGNAL PROCESSING is the analysis, interpretation and manipulation of like sound, images, time-varying measurement values and sensor data etc.Types of signal processing:

1. Analog signal processing

2. Digital signal processing

DIGITAL SIGNAL PROCESSING:

DIGITAL: Operating by the use of discrete signal to represent data in the form of numbers.

SIGNAL: A parameter (electrical quantity or effect) that can be varied in such a way as to convey information.

PROCESSING: a series operation performed according to programmed instructions.

NEED OF SIGNAL PROCESSING

Distortion

signal processing

PRINCIPLES AND OPERATION:

Digital signal processing consist of anti-aliasing filter ,ADC, digital processor, DAC and a reconstruction filter.

FILTERS:

Two uses :Signal separationSignal RestorationExample: an audio recording made with poor equipment may be filtered to get the original sound.

FILTER

DIGITAL

FIR IIR

ANALOG

Another example of deblurring of an image occurred with an improperly focused lens or a shaky camera.So these problems can be solved with either analog or digital filter .

DIGITAL FILTERS

Digital filter are vastly superior in the level of performance in comparison to analog filters.

Processes Generates

Digital Data

Adder

Multiplier

Delay Units

ADVANTAGES OF FILTERS:

DSP filter is immune to:Environmental ChangesNoise and relatively StableImpedance MatchingComputational ProblemsAvailability of :Multiple Filtering Variety of Shapes for Amplitudes and Phase Response.Easy Transportation and Reconfiguration.

ADVANTAGES OF DSP:

Accuracy Flexibility Easy operation Multiplexing Storagable

LIMITATIONS OF DSP

Antialias filter Frequency Resolution

Quantization Error

APPLICATIONS OF DSP:Image processingConsumer applicationCellular mobile phonesIn CommunicationIn Speech and MusicIn BiomedicalIn Radar and Sonar

CONCLUSION :

CONCLUSION:Digital Processing – a series of instructions to manipulate the digital numbers.

DSP is used in wide range in everyday applications.

Digital Signal Processing (DSP) is often used in modern audio logical equipment.

Storage capability.

REFERENCES:

www.dspguru.comhttp/:www.seminarslides.com/http/:www.ti.com/lsds/ti/dsphttp/:electronics./ti/dsphttp/:en.wikibooks.org/digital/http/:www.slideshare.com

THANK YOU


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