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Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Steven Roman 作者

Springer

译者

1992-06-04 出版日期

506 页数

USD 74.95 价格

Hardcover

丛书系列

9780387978123 图书编码

Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书图书标签: 计算机数学计算机科学教材信息论计算编码复旦

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Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书著者简介

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Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Coding and Information Theory (Graduate Texts in Mathematics) 在线电子书图书描述

This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.

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