The first comprehensive introduction to information theory, this book places the work begun by Shannon and continued by McMillan, Feinstein. Book. Title, Mathematical foundations of information theory. Author(s), Khinchin, Aleksandr Yakovlevich. Publication, New York, NY: Dover. Khinchin, A.I. () Mathematical Foundation of Information Theory. Dover Publications, New York.

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The first comprehensive introduction to information theory, this book places the work theoyr by Shannon and continued by McMillan, Feinstein, and Khinchin on a rigorous mathematical basis. And unlike many recent books on this subject the price is very cheap. There are no discussion topics on this book yet. ComiXology Thousands of Digital Comics.

Aleksandr I͡Akovlevich Khinchin, Mathematical Foundations of Information Theory – PhilPapers

All these notions can be mapped on the general mathematical concept of entropy. Add both to Cart Add both to List.


SchneiderRobert E. Manis Pierre rated it it was ok Apr 08, It requires ergodic theory and measure theory to follow every detail, but some parts may be usable even without much background.

Trento marked it as to-read Jun 29, Raju Mundru rated it it was amazing Feb 23, There was a problem filtering reviews right now. The second Shannon theorem. No trivia or quizzes yet. Did you know that sinceBiblio has used its profits to build 12 public libraries in rural villages of South America?

Books by Aleksandr Yakovlevich Khinchin. Poh Kit Chong is currently reading it Sep 23, Paperbackpages.

Amazon Music Stream millions of songs. The main advantage of the book is that it covers the info theory corresponding to different fields of science and art. Marco Spadini marked it as to-read Jun 25, Trivia About Mathematical Foun For the first time, mathematicians, statisticians, physicists, cyberneticists, and communications engineers are offered Ships from and sold by Amazon.

Mathematical Foundations of Information Theory

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Besides the Shannon entropy, there exists a class of Shannon-like entropies which converge, under certain circumstances, toward Shannon entropy. Don’t have a Kindle?

Mathematical foundations of information theory – CERN Document Server

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Its rigorous treatment addresses the entropy concept in probability theory and fundamental theorems as well as ergodic sources, the martingale concept, Deflating the Deflationary View of Information. Stars are assigned as follows: To ask other readers questions about Mathematical Foundations of Information Rheoryplease sign up.