Information theory coding theorems for discrete memoryless systems
Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-termina...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2011
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| Edition: | Second edition |
| Subjects: | |
| Online Access: | |
| Collection: | Cambridge Books Online - Collection details see MPG.ReNa |
Table of Contents:
- Information measures in simple coding problems
- Source coding and hypothesis tsting; information measures
- Types and typical sequences
- Formal properties of Shannon's information measures
- Non-block source coding
- Blowing up lemma: a combinatorial digression
- Two-terminal systems
- The noisy channel coding problem
- Rate-distortion trade-off in source coding and the source-channel transmission problem
- Computation of channel capacity and [delta]-distortion rates
- A covering lemma and the error exponent in source coding
- A packing lemma and the error exponent in channel coding
- The compund channel revisited: zero-error information theory and extremal combinatorics
- Arbitrarily varying channels
- Multi-terminal systems
- Separate coding of correlated sources
- Multiple-access channels
- Entropy and image size characterization
- Source and channel networks
- Information-theoretic security