
Information Theory: Coding Theorems for Discrete Memoryless Systems
by Imre Csiszár , János KörnerBuy New
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Summary
Author Biography
Table of Contents
Preface to the first edition | p. ix |
Preface to the second edition | p. xi |
Basic notation and conventions | p. xii |
Introduction | p. xv |
Information measures in simple coding problems | p. 1 |
Source coding and hypothesis testing; information measures | p. 3 |
Types and typical sequences | p. 16 |
Formal properties of Shannon's information measures | p. 34 |
Non-block source coding | p. 48 |
Blowing up lemma: a combinatorial digression | p. 71 |
Two-terminal systems | p. 81 |
The noisy channel coding problem | p. 83 |
Rate-distortion trade-off in source coding and the source-channel transmission problem | p. 107 |
Computation of channel capacity and $$$-distortion rates | p. 120 |
A covering lemma and the error exponent in source coding | p. 132 |
A packing lemma and the error exponent in channel coding | p. 144 |
The compound channel revisited: zero-error information theory and extremal combinatorics | p. 184 |
Arbitrarily varying channels | p. 209 |
Multi-terminal systems | p. 241 |
Separate coding of correlated sources | p. 243 |
Multiple-access channels | p. 272 |
Entropy and image size characterization | p. 304 |
Source and channel networks | p. 354 |
Information-theoretic security | p. 400 |
References | p. 461 |
Name index | p. 478 |
Index of symbols and abbreviations | p. 482 |
Subject index | p. 485 |
Table of Contents provided by Ingram. All Rights Reserved. |
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