It2302 information theory and codingl t p c
- 1. 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 memory less 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 TOTAL: 45 PERIODS TEXT BOOKS: 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