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Mathematical Foundations of Information Theory: The entropy concept in probability theory. 2. On the fundamental theorems of information theory by Aleksandr Yakovlevich Khinchin is a nonfiction available to read on EtoBox.

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The first comprehensive introduction to information theory, this book places the work begun by Shannon and continued by McMillan, Feinstein, and Khinchin on a rigorous mathematical basis. For the first time, mathematicians, statisticians, physicists, cyberneticists, and communications engineers are offered a lucid, comprehensive introduction to this rapidly growing field. In his first paper, Dr. Khinchin develops the concept of entropy in probability theory as a measure of uncertainty of a finite “scheme,” and discusses a simple application to coding theory. The second paper investigates the restrictions previously placed on the study of sources, channels, and codes and attempts “to give a complete, detailed proof of both ... Shannon theorems, assuming any ergodic source and any stationary channel with a finite memory.” Partial Contents: I. The Entropy Concept in Probability Theory — Entropy of Finite Schemes. The Uniqueness Theorem. Entropy of Markov chains. Application to Coding Theory. II. On the Fundamental Theorems of Information Theory — Two generalizations of Shannon’s inequality. Three inequalities of Feinstein. Concept of a source. Stationarity. Entropy. Ergodic sources. T

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Author

Aleksandr Yakovlevich Khinchin

Publisher

Dover Publications, Incorporated

Published

1957

Language

EN

ISBN

9780486318448

Category

nonfiction

Subjects

Engineering, Mathematics, Science