Entropy and Information Theory pdf epub mobi txt 电子书 下载 2024


Entropy and Information Theory

简体网页||繁体网页
Robert M. Gray
Springer
1990
332
89.95
Hardcover
9780387973715

图书标签: 信息  complexity  Complexity   


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发表于2024-06-02

Entropy and Information Theory epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Entropy and Information Theory epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Entropy and Information Theory pdf epub mobi txt 电子书 下载 2024



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This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the limiting normalized versions of these quantities such as entropy rate and information rate. Much of the book is concerned with their properties, especially the long term asymptotic behavior of sample information and expected information. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.

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