UNIT I INFORMATION THEORY
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
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
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
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
Convolutional codes – code tree, trellis, state diagram - Encoding – Decoding: Sequential search and Viterbi algorithm – Principle of Turbo coding
Total= 45 Periods
TEXT BOOKS:
- R Bose, “Information Theory, Coding and Crptography”, TMH 2007
- Fred Halsall, “Multidedia Communications: Applications, Networks, Protocols and Standards”, Perason Education
REFERENCES:
- K Sayood, “Introduction to Data Compression” 3/e, Elsevier 2006
- S Gravano, “Introduction to Error Control Codes”,
- Amitabha Bhattacharya, “Digital Communication”, TMH 2006
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