Amazon cover image
Image from Amazon.com

Mathematical foundations of information theory / By. Khinchin Translated by R.A. Silverman and M.D. Friedman.

By: Material type: TextTextLanguage: engrus Publication details: New York, Dover Publications [1957]Description: 120 p. 21 cm. PbkISBN:
  • 9780486604343
Subject(s): DDC classification:
  • 501.51 KHI
Online resources:
Contents:
The entropy concept in probability theory: Entropy of finite schemes -- The uniqueness theorem -- Entropy of Markov chains -- Fundamental theorems -- Application to coding theory On the fundamental theorems of information theory: Introduction -- Elementary inequalities -- Ergodic sources -- Channel and the sources driving them -- Feinstein's fundamental lemma -- Shannon's theorems.
Summary: "A translation of ... two papers ... The entropy concept in probability theory [and] On the fundamental theorems of information theory."
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books H.T. Parekh Library SIAS Collection 501.51 KHI (Browse shelf(Opens below)) Checked out to Rishi Vyas (KF14) 30/09/2024 K4208

TB539/07
$10.95/-

The entropy concept in probability theory: Entropy of finite schemes --
The uniqueness theorem --
Entropy of Markov chains --
Fundamental theorems --
Application to coding theory On the fundamental theorems of information theory: Introduction --
Elementary inequalities --
Ergodic sources --
Channel and the sources driving them --
Feinstein's fundamental lemma --
Shannon's theorems.

"A translation of ... two papers ... The entropy concept in probability theory [and] On the fundamental theorems of information theory."

There are no comments on this title.

to post a comment.

Copyright @ 2024  |  All rights reserved, H.T. Parekh Library, Krea University, Sri City