
| Ranjan Bose is an Associate Professor in the department of Electrical Engineering at the Indian Institute of Technology (IIT), Delhi. He did his B. Tech. in Electrical Engineering from UT, Kanpur and his M.S. and Ph. D. in Electrical Engineering from the University of Pennsylvania, Philadelphia. He then worked at Alliance Semiconductors Inc. as a Senior Design Engineer. Since November 1997, he has been with the Indian Institut.. << 查看详细 |
| preface acknowledgements part i information theory and source coding 1. source coding 3 1.1 introduction to information theory 3 1.2 uncertainty and information 4 1.3 average mutual information and entropy 11 1.4 information measures for continuous random variables 14 1.5 source coding theorem 15 1.6 huffmancoding 21 1.7 the lempel-ziv algorithm 28 1.8 run length encoding and the pcx format 30 1.9 rate distortion function 33 1.10 optimum quantizer design 36 1.11 introduction to image compression 37 1.19 thejpeg standard for lossless compression 38 1.13 thejpeg standard for lossy compression 39 1.14 concluding remarks 41 summary 42 .problems 44 computer problems 46 2. channel capacity and coding 47 2.1 introduction 47 2.2 channel models 48 2.3 channel capacity 50 2.4 channel coding 52 2.5 information capacity theorem 56 2.6 the shannon limit 59 2.7 random selection of codes 61 2.8 concluding remarks 67 summary 68 problems 69 computer problems 71 part ii error control coding (channel coding) 3. linear block codes for error correction 75 3.1 introduction to error correcting codes 75 3.2 basic definitions 77 3.3 matrix description of linear block codes 81 3.4 equivalent codes 82 3.5 parity check matrix 85 3.6 decoding of a linear block code 87 3.7 syndrome decoding 94 3.8 error probability after coding (probability of error correction) 95 3.9 perfect codes 97 3.10 hamming codes 100 3.11 optimal linear codes 102 3.12 maximum distance separable (mds) codes 102 3.13 concluding remarks 102 summary 103 problems 105 computer problems 106 4. cyclic codes 108 4.1 introduction to cyclic codes 108 4.2 polynomials 109 4.3 the division algorithm for polynomials 110 4.4 a method for generating cyclic codes 115 4.5 matrix description of cyclic codes 119 4.6 burst error correction 121 4.7 fire codes 123 4.8 golay codes 124 4.9 cyclic redundancy check (crc) codes 125 4.10 circuit implementation of cyclic codes 128 4.11 concluding remarks 132 summary 132 problems 134 computer problems 135 5. bose-chaudhuri hocquenghem (bch) codes 5.1 introduction to bch codes 136 5.2 primitive elements 137 5.3 minimal polynomials 133 5.4 generator polynomials in terms of minimal polynomials 141 5.5 some examples of bch codes 143 5.6 decoding of bch codes 147 5.7 reed-solomon codes 150 5.8 implementation of reed-solomon encoders and decoders 153 5.9 nested codes 153 5.10 concluding remarks 155 summary 156 problems 157 computer problems 158 6. convolutional codes 6.1 introduction to convolutional codes 159 6.2 tree codes and trellis codes 160 6.3 polynomial description of convolutional codes (analytical representation) 165 6.4 distance notions for convolutional codes 170 6.5 the generating function 173 6.6 matrix description of convolutional codes 776 6.7 viterbi decoding of convolutional codes 178 6.8 distance bounds for convolutional codes 185 6.9 performance bounds 187 6.10 known good convolutional codes 188 6.11 turbo codes 190 6.12 turbo decoding 192 6.13 concluding remarks 198 summary 199 problems 201 computer problems 203 7. trellis coded modulation 206 7.1 introduction to tcm 206 7.2 the concept of coded modulation 207 7.3 mapping by set partitioning 212 7.4 ungerboeck's tcm design rules 216 7.5 tcm decoder 220 7.6 performance evaluation for awgn channel 221 7.7 computation of dfree 227 7.8 tcm for fading channels 228 7.9 concluding remarks 232 summary 233 problems 234 computer problems 238 part iii coding for secure communications 8. cryptography 241 8.1 introduction to cryptography 241 8.2 an overview of encryption techniques 242 8.3 operations used by encryption algorithms 245 8.4 symmetric (secret key) cryptography 246 8.5 data encryption standard (des) 248 8.6 international data encryption algorithm (idea) 252 8.7 rc ciphers 253 8.8 asymmetric (public-key) algorithms 254 8.9 the rsa algorithm 254 8.10 pretty good privacy (pgp) 256 8.11 one-way hashing 253 8.12 other techniques 260 8.13 secure communication using chaos functions 261 8.14 cryptanalysis 262 8.15 politics of cryptography 264 8.16 concluding remarks 265 summary 268 problems 269 computer problems 271 index 273 |
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