Friday, June 22, 2012
IT2302 INFORMATION THEORY AND CODING Syllabus - Anna University
IT2302 INFORMATION THEORY AND
CODING L T P C
3 0 0 3
UNIT I
INFORMATION THEORY
9
Information – Entropy, Information rate, classification of codes,
Kraft McMillan inequality, Source coding theorem, Shannon-Fano coding,
Huffman coding,
Extended Huffman coding - Joint and conditional entropies, Mutual information - Discrete memoryless channels – BSC, BEC
– Channel capacity, Shannon limit.
UNIT II SOURCE CODING: TEXT, AUDIO AND
SPEECH 9
Text: Adaptive Huffman Coding, Arithmetic Coding, LZW algorithm – Audio: Perceptual
coding, Masking techniques, Psychoacoustic model, MEG Audio layers I,II,III, Dolby
AC3 - Speech: Channel Vocoder, Linear
Predictive Coding
UNIT III
SOURCE CODING:
IMAGE AND VIDEO 9
Image and Video Formats – GIF, TIFF, SIF, CIF, QCIF – Image compression: READ,
JPEG
– Video Compression: Principles-I,B,P frames, Motion estimation, Motion
compensation, H.261, MPEG standard
UNIT IV ERROR
CONTROL CODING: BLOCK CODES 9
Definitions and Principles: Hamming weight, Hamming distance, Minimum
distance decoding - Single parity codes, Hamming codes, Repetition codes - Linear block codes,
Cyclic codes - Syndrome calculation, Encoder and decoder - CRC
UNIT V
ERROR
CONTROL CODING: CONVOLUTIONAL CODES 9
Convolutional codes
–
code tree,
trellis,
state
diagram - Encoding
–
Decoding: Sequential search and Viterbi
algorithm – Principle of Turbo coding
TEXT BOOKS
TOTAL= 45 PERIODS
1. R Bose, “Information Theory, Coding and Crptography”, TMH 2007
2. Fred Halsall, “Multidedia Communications: Applications, Networks, Protocols and
Standards”, Perason Education Asia, 2002
REFERENCES
1. K Sayood, “Introduction to Data Compression” 3/e, Elsevier 2006
2. S Gravano, “Introduction to Error Control Codes”, Oxford University Press 2007
3. Amitabha Bhattacharya, “Digital
Communication”, TMH 2006
By Vinoth
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