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Mathematical Foundations of Information Theory

The first comprehensive introduction to information theory, this text explores the work begun by Shannon and continued by McMillan, Feinstein, and Khinchin. Its rigorous treatment addresses the entropy concept in probability theory and fundamental theorems as well as ergodic sources, the martingale concept, anticipation and memory, and other subjects. 1957 edition.

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  • "Information theory"
  • "Poniatie entropii v teorii veroiatnostei"@en

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  • "The entropy concept in probability theory. On the fundamental theorems of information theory. Elementary inequalities. Ergodic sources; Channels and the sources driving them. Feinstein's fundamental lemma. Shannon's theorems."
  • "The first comprehensive introduction to information theory, this text explores the work begun by Shannon and continued by McMillan, Feinstein, and Khinchin. Its rigorous treatment addresses the entropy concept in probability theory and fundamental theorems as well as ergodic sources, the martingale concept, anticipation and memory, and other subjects. 1957 edition."@en

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  • "Electronic books"@en

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  • "Mathematical Foundations of Information Theory"@en
  • "Mathematical Foundations of Information Theory"
  • "Mathematical foundations of information theory = Poniatie entropii v teorii veroiatnostei"@en
  • "Mathematical foundations of information theory transl.by R.A.Silverman and M.D.Friedman.[New dover ed.]"
  • "Mathematical foundations of information theory"
  • "Mathematical foundations of information theory"@en
  • "Mathematical Founcations of Information Theory"

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