Information theory : coding theorems for discrete memoryless systems [E-Book] / Imre Csiszár, János Körner.
Csiszár, Imre, (author)
Körner, János, (author)
Second edition.
Cambridge : Cambridge University Press, 2011
1 online resource (xxi, 499 pages)
Full Text
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.