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Slide 1 Digital Communication Continuous of block codes, ISI, encoder structure Lecture - 9 Ir. Muhamad Asvial, MSc., PhD Center for Information and Communication Engineering Research (CICER) Electrical Engineering Department - University of Indonesia E-mail: [email protected] http://www.ee.ui.ac.id/cicer
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Page 1: Digital Communication Continuous of block codes, …staff.ui.ac.id/system/files/users/ir.muhammad/material/...Slide 1 Digital Communication Continuous of block codes, ISI, encoder

Slide 1

Digital CommunicationContinuous of block codes, ISI, encoder

structureLecture - 9

Ir. Muhamad Asvial, MSc., PhDCenter for Information and Communication Engineering Research (CICER)

Electrical Engineering Department - University of IndonesiaE-mail: [email protected]

http://www.ee.ui.ac.id/cicer

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Slide 2

Line coding and decoding

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Slide 3

Signal element versus data element

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Slide 4

Data Rate Vs. Signal Rate• Data rate: the number of data elements (bits) sent in 1s (bps).

It’s also called the bit rate• Signal rate: the number of signal elements sent in 1s (baud).

It’s also called the pulse rate, the modulation rate, or the baud rate.

• We wish to:– increase the data rate (increase the speed of transmission)– decrease the signal rate (decrease the bandwidth

requirement) – worst case, best case, and average case of r– N bit rate– c is a constant that depends on different line codes.– S = c * N / r baud

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Slide 5

Other properties

• DC components• Transmission bandwidth• Power efficiency• Error detection and correction capability• Favorable power spectral density• Adequate timing content• Transparency

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Slide 6

Line coding schemes

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Slide 7

ISI Example

5T

0 t

Sequence of three pulses (1, 0, 1)sent at a rate 1/T

sequence sent 1 0 1

sequence received 1 1(!) 1

Signal received

Threshold

4T3T2TT0-T-2T-3T

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Slide 8

Baseband binary data transmission system.

• ISI arises when the channel is dispersive • Frequency limited -> time unlimited -> ISI• Time limited -> bandwidth unlimited ->

bandpass channel -> time unlimited -> ISI

p(t)

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Slide 9

ISI• First term : contribution of the i-th transmitted

bit.• Second term : ISI – residual effect of all other

transmitted bits.

• We wish to design transmit and receiver filters to minimize the ISI.

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Slide 10

Sample rate vs. bandwidth• W is the bandwidth of P(f)• When 1/T > 2W, no function to satisfy Nyquist

condition.

P(f)

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Slide 11

Sample rate vs. bandwidth• When 1/T = 2W, rectangular function satisfy

Nyquist condition

,

,0,

sincsin

otherwiseWfT

fPTt

tTttp

0 1 2 3 4 5 6-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

Subcarrier Number k

Spe

ctra

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Slide 12

Differential Coding• The response of a pulse is spread over more than one signaling

interval.• The response is partial in any signaling interval.• Detection :

– Major drawback : error propagation.• To avoid error propagation, need deferential coding (precoding).

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Slide 13

Modified duobinary signaling

• Modified duobinary signaling– In duobinary signaling, H(f) is nonzero at the origin.– We can correct this deficiency by using the class

IV partial response.

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Slide 14

Pulse Generation

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Slide 15

Eye Diagram• The eye diagram is created by taking the time

domain signal and overlapping the traces for a certain number of symbols.

• The open part of the signal represents the time that we can safely sample the signal with fidelity

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Slide 16

Vertical and Horizontal Eye Openings• The vertical eye opening or

noise margin is related to the SNR, and thus the BER– A large eye opening

corresponds to a low BER• The horizontal eye opening

relates the jitter and the sensitivity of the sampling instant to jitter– The red brace indicates the

range of sample instants with good eye opening

– At other sample instants, the eye opening is greatly reduced, as governed by the indicated slope

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Slide 17

Jitter in Circuit design• Circuit design

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Slide 18

Questions?


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