The Theory of Information and Coding

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Cambridge University Press, Apr 18, 2002 - Computers - 397 pages
This revised edition of McEliece's classic is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Following the main results, the channel and source coding theorems is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution.
 

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Contents

Entropy and mutual information
17
Discrete memoryless channels and their capacitycost
50
Discrete memoryless sources and their ratedistortion
75
The Gaussian channel and source
95
The sourcechannel coding theorem
112
Survey of advanced topics for part one
123
Linear codes
139
Cyclic codes
167
BCH ReedSolomon and related codes
230
Convolutional codes
293
Variablelength source coding
330
Survey of advanced topics for Part two
347
Appendices
366
References
384
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