FORMAT: QP09 KCE/DEPT.

OF ECE

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

SUBJECT: EC8501 DIGITAL COMMUNICATION

SEMESTER: V

Question Bank
(Version:2)

PREPARED BY
A.HERALD, AP/ECE

DC1. 1 KCE/ECE/QB/ III YR/ DC

 FORMAT: QP09 KCE/DEPT. OF ECE

EC8501 DIGITAL COMMUNICATION LTPC

3003

UNIT I INFORMATION THEORY 9

Discrete Memoryless source, Information, Entropy, Mutual Information - Discrete Memoryless channels –
Binary Symmetric Channel, Channel Capacity - Hartley - Shannon law - Source coding theorem - Shannon -
Fano & Huffman codes.

UNIT II WAVEFORM CODING & REPRESENTATION 9

Prediction filtering and DPCM - Delta Modulation - ADPCM & ADM principles-Linear Predictive Coding-
Properties of Line codes- Power Spectral Density of Unipolar / Polar RZ & NRZ – Bipolar NRZ - Manchester .

UNIT III BASEBAND TRANSMISSION & RECEPTION 9

ISI – Nyquist criterion for distortion less transmission – Pulse shaping – Correlative coding - Eye pattern –
Receiving Filters- Matched Filter, Correlation receiver, Adaptive Equalization.

UNIT IV DIGITAL MODULATION SCHEME 9

Geometric Representation of signals - Generation, detection, PSD & BER of Coherent BPSK, BFSK & QPSK -
QAM - Carrier Synchronization - Structure of Non-coherent Receivers - Principle of DPSK.

UNIT V ERROR CONTROL CODING 9

Channel coding theorem - Linear Block codes - Hamming codes - Cyclic codes - Convolutional codes - Viterbi
Decoder.

TOTAL: 45 PERIODS

SIGNATURE OF STAFF INCHARGE HOD/ECE

Mr.A.Herald, AP/ECE

DC1. 2 KCE/ECE/QB/ III YR/ DC

 FORMAT: QP09 KCE/DEPT. OF ECE

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

COURSE PLAN

Sub. Code : EC 8501 Branch / Year / Sem : B.E ECE / III /V

Sub.Name : Digital Communication Batch : 2018-2022
Staff Name : Mr.A.Herald Academic Year : 2020-21 (ODD)

COURSE OBJECTIVE

 To know the principles of sampling & quantization

 To study the various waveform coding schemes
 To learn the various baseband transmission schemes
 To understand the various Band pass signaling schemes
 To know the fundamentals of channel coding

TEXT BOOK:

T1. S. Haykin, “Digital Communications”, John Wiley, 2005 (I-V)

REFERENCE BOOK:

R1. B.P.Lathi, “Modern Digital and Analog Communication Systems” 3rd Edition, Oxford
University Press 2007.

WEB RESOURCES:

W1. http://circuit.ucsd.edu/~yhk/ece154c-spr16/pdfs/LectureNotes01.pdf (Topic.No: 07)

W2. erendemir.weebly.com/uploads/4/8/5/0/4850484/commsys-2-2012-3.ppt (Topic. No:10)
W3. vada.skku.ac.kr/ClassInfo/digital-com2000/haykin/comm7-2.ppt (Topic. No:19)
W4. erendemir.weebly.com/uploads/4/8/5/0/4850484/commsys-2-2012-8.ppt (Topic.No: 24)
W5. www.youtube.com/watch?v=tBacTPPNIrk (Topic.No: 33)
W6. andrew.nerdnetworks.org/classes/commit/Viterbi-Decoding.ppt (Topic.No: 36)

Topic Topic Books Page No. Teaching No. of Cumulative

No for Methodology Hours No. of
Reference Required periods

DC1. 3 KCE/ECE/QB/ III YR/ DC

 FORMAT: QP09 KCE/DEPT. OF ECE
UNIT I INFORMATION THEORY (10)
1. Discrete Memory less source, T1 568-571 BB 1 1
Information, Entropy
2. Mutual Information T1 584-587 BB 1 2
3. Discrete Memory less channels T1 581-583 BB 1 3
4. Binary Symmetric Channel T1 583-584 BB 1 4
5. Channel Capacity Hartley - Shannon T1 587-590 BB 1 5
law
6. Source coding theorem T1 574-575 BB 1 6
7. Shannon – Fano codes W1 - PPT 2 8
8. Huffman codes T1 578-580 BB 2 10
LEARNING OUTCOME
At the end of unit, students should be able to
 Understand the concept of entropy and mutual information.
 Identify the types of channels.
 State the source coding theorem.
 Develop the Shannon and Hamming codes.
UNIT II   WAVEFORM CODING & REPRESENTATION (10)
T1 109-116
9. Prediction filtering and DPCM BB 1 11
200-203
10. Delta Modulation W2 - PPT 1 12
11. ADPCM & ADM principles T1 208-215 BB 2 14
12. Linear Predictive Coding T1 109-110 BB 1 15
13. Properties of Line codes T1 234-236 BB 1 16
Power Spectral Density of Unipolar / T1 237-240 BB 2 18
14.
Polar RZ & NRZ coding
15. Bipolar NRZ coding T1 240-241 BB 1 19

16. Manchester coding T1 242-245 BB 1 20

LEARNING OUTCOME
At the end of unit, students should be able to
 Understand the concept of filtering and prediction in communication.
 Describe the concept of DPCM, DM in communication
 Realize the principles of ADPCM and ADM modulation
 Develop the linear predictive coding in communication.
UNIT III BASEBAND TRANSMISSION & RECEPTION (10)
ISI- Nyquist criterion for distortion T1 243-247 BB 2 22
17.
less transmission
18. Pulse shaping T1 250-251 BB 1 23

19. Correlative coding – M-ary schemes W3 - PPT 1 24

20. Eye pattern – Equalization T1 261-263 BB 1 25
21. Receiving Filters- Matched Filter T1 86-95 BB 1 26
22. Correlation receiver T1 84-86 BB 2 28

23. Adaptive Equalization T1 263-266 BB 2 30

Topic Topic Books Page No. Teaching No. of Cumulative
No for Methodology Hours No. of
Reference Required periods

DC1. 4 KCE/ECE/QB/ III YR/ DC

 FORMAT: QP09 KCE/DEPT. OF ECE
LEARNING OUTCOME
At the end of unit, students should be able to
 Understand the properties of line codes and its spectral density in Polar form.
 Analyze the ISI, Nyquist criterion and pulse shaping of signals in communication.
 Explain the various M-ary schemes (like BPSK,QPSK etc) in communication.
 Identify the concept of eye pattern in Communication
UNIT IV DIGITAL MODULATION SCHEME (10)
Geometric Representation of W4 - BB 1 31
24.
signals
Generation, detection, PSD & BER T1 275-279 BB 1 32
25.
of Coherent BPSK
Generation, detection, PSD & BER T1 279-283 PPT 2 34
26.
of BFSK & QPSK
27. Quadrature Amplitude Modulation T1 283-300 BB 1 35
28. Carrier Synchronization T1 344-348 BB 1 36
Structure of Non-coherent T1 300-307 BB 2 38
29.
Receivers
30. Principle of DPSK T1 307-310 BB 2 40
LEARNING OUTCOME
At the end of unit, students should be able to
 Understand the geometric representation of signals in Communication.
 Analyze the Generation, detection, PSD & BER of BPSK, BFSK QPSK,QAM and DPSK.
 Describe the concept of Carrier Synchronization in Communication.
 Develop the structure for coherent Receivers.
UNIT V ERROR CONTROL CODING (10)
31. Channel coding theorem T1 365-370 BB 1 41

32. Linear Block codes R1 731-737 BB 2 43

33. Hamming codes W5 - NPTEL video 2 45

34. Cyclic codes T1 379-393 BB 2 47

35. Convolutional codes T1 393-403 BB 2 49

36. Viterbi Decoder W6 - PPT 1 50

LEARNING OUTCOME
At the end of unit, students should be able to
 State the channel coding theorem of signals in Communication.
 Know the concept of error control coding like linear Block Codes.
 Analyze the Hamming codes, cyclic codes and Conventional codes for error.
 Use the concept of Viterbi Decoding in communication receivers.
OUTCOMES: Upon completion of the course, students will be able to
 Design and implement the source coding techniques
 Design and implement the prediction filter
 Design and implement base band transmission and reception
 Analyze the spectral characteristics of band pass signaling schemes and their noise performance
 Design error control coding schemes
CONTENT BEYOND THE SYLLABUS
1. Introduction on SCILab code for Digital Communication .
INTERNAL ASSESSMENT DETAILS
ASST. NO. I II MODEL

DC1. 5 KCE/ECE/QB/ III YR/ DC

 FORMAT: QP09 KCE/DEPT. OF ECE
Topic Nos. 1-12 13-23 1-36
Date
ASSIGNMENT DETAILS
ASSIGNMENT I II
Topic Nos. 1-12 PCE

Deadline

ASSIGNMENT-I(20) ASSIGNMENT-II(20)
(Before AT-I) (Before AT-II)
Topic Nos. For reference:1-12 PCE Activity

Part-A

1. What is memory less source? Give an example. Activity 1: GATE paper solving.
2. What is entropy? State any four properties of
 Error Control Coding
entropy.
 Information Theory
3. Name the source coding techniques. Activity 2:Application of concept
4. What is prefix code?  Quadrature Amplitude Modulation
5. State the channel coding theorem for a discrete Activity 3:Quiz
memory less channel.
Part-B  Subject Related Quiz using Kahoot
1. Define mutual information. Find the relation between Activity 4:Think break(Problem Solving)
the mutual information and the joint entropy of the  Linear Block codes
channel input and channel output. Explain the important  Convolutional codes
properties of mutual information. Activity 5:Paper presentation

2.Five symbols of the alphabet of discrete memory less  Adaptive Equalization

source and their probabilities are given below  Delta Modulation
S=[S0,S1,S2,S3,S4;P[S]=[0.4,0.0.19.2,0.15,0.1].Construct Activity :6.APH
the Shannon fano coding and determine the efficiency.  Hamming codes
 Cyclic codes
3. Describe delta modulation system in detail with a neat
block diagram. Also, illustrate the two forms of
quantization error in delta modulation.

Prepared By Verified By
Mr.A.Herald HOD/ECE

Approved by
PRINCIPAL

DC1. 6 KCE/ECE/QB/ III YR/ DC