The Theory of Information and Coding

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April 2002



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.


1. Entropy and mutual information; 2. Discrete memoryless channels and their capacity-cost functions; 3. Discrete memoryless sources and their rate-distortion functions; 4. The Gaussian channel and source; 5. The source-channel coding theorem; 6. Survey of advanced topics for part I; 7. Linear codes; 8. BCH Goppa, and related codes; 9. Convolutional codes; 10. Variable-length source coding; 11. Survey of advanced topics for part II.


'... [An] outstanding book ...'. Albert A. Mullin, Zentralblatt MATH
EAN: 9780521000956
ISBN: 0521000955
Untertitel: 'Encyclopedia of Mathematics an'. Revised. Sprache: Englisch.
Erscheinungsdatum: April 2002
Seitenanzahl: 410 Seiten
Format: gebunden
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