TY  - BOOK
AU  -  Csiszár Imre
TI  - Information Theory: Coding Theorems for Discrete Memoryless Systems
SN  - 978110765043
U1  - 518 
PY  - 2011///
PB  - Cambridge University Press
N1  -  Part I Information measures in simple coding problems
 Source coding and hypothesis
 testing; information measures
 Types and typical sequences
 Formal properties of Shannon’s
 information measures
 Non-block source coding
 Blowing up lemma: a combinatorial digression
 Part II 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-distortion rates
 A covering lemma and the error exponent in source coding
 A packing lemma and the error exponent in channel coding
 The compound channel revisited: zero-error information theory and extremal
 combinatorics
 Arbitrarily varying channels
 Part III Multi-terminal systems
 Separate coding of correlated sources
 Multiple-access channels
 Entropy and image size characterization
 Source and channel networks
 Information-theoretic security
N2  - This 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-terminal network scenarios. Updated and considerably expanded, this new
 edition presents unique discussions of information-theoretic secrecy and of zero-error
 information theory, including substantial connections of the latter with extremal com
binatorics. The presentations of all core subjects are self-contained, even the advanced
 topics, which helps readers to understand the important connections between seemingly
 different problems. Finally, 320 end-of-chapter problems, together with helpful solving
 hints, allow readers to develop a full command of the mathematical techniques. This
 is an ideal resource for graduate students and researchers in electrical and electronic
 engineering, computer science, and applied mathematics
ER  -