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

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Robert M. Gray 作者

Springer

译者

1990 出版日期

332 页数

89.95 价格

Hardcover

丛书系列

9780387973715 图书编码

Entropy and Information Theory 在线电子书图书标签: 信息 complexity Complexity

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

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Entropy and Information Theory 在线电子书图书描述

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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