Entropy and Information Theory pdf epub mobi txt 電子書下載 2024

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Robert M. Gray

Springer

1990

332

89.95

Hardcover

9780387973715

圖書標籤: 信息 complexity Complexity

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发表于2024-07-01

Entropy and Information Theory epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Entropy and Information Theory pdf epub mobi txt 電子書下載 2024

圖書描述

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.

Entropy and Information Theory 下載 mobi epub pdf txt 電子書