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Information Theory and Network Coding (Translated Edition of Postgraduate Information and Electronics for Teaching) (Chinese Edition) - Softcover

 
9787040314700: Information Theory and Network Coding (Translated Edition of Postgraduate Information and Electronics for Teaching) (Chinese Edition)

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《信息论与网络编码(翻译版)》内容由信息论和网络编码两部分组成。第一部分严密地论述了有关离散和连续系统的信息理论。在传统的信息论基础以外,又增加了,一度量、sh8nnon型与非shannon型不等式、熵函数与群论的基本关系等内容。在第二部分,作者在信息论的基础上综合了网络编码的基本理论,包括对线性网络编码、卷积网络编码和多信源网络编码的详细讨论。此外《信息论与网络编码(翻译版)》具有以下重要特色:①理论推导的严密性为本书的首要原则;②全书包含了大量的例子;③大量的原创性的习题;④每章后附有本章小结;⑤作为一本综合性教材,《信息论与网络编码(翻译版)》的两部分既可分别使用也可统一使用。《信息论与网络编码(翻译版)》可以作为电气工程、计算机科学和应用数学等专业的本科高年级和研究生的教材,也可作为通信工程的专业人员的参考书。1信息的科学I信息论部分2信息度量2.1独立性和Markov链2.2Shannon信息度量2.3固定有限字母表上Shannon信息度量的连续性2.4链式法则2.5信息散度2.6基本不等式2.7一些常用信息不等式2.8Fano不等式2.9最大熵分布2.10平稳信源的熵率附录2.A:可数无限字母表上随机变量的截断逼近本章小结习题历史注记3I-度量3.1基本概念3.2两个随机变量的I-度量3.5信息图3.6应用实例附录3.A:容斥公式的一个变形本章小结习题历史注记4无错误数据压缩4.1熵界4.2前缀码4.2.1定义和存在性4.2.2Huffman码4.3前缀码的冗余本章小结习题历史注记5弱典型性5.1弱渐近等分性5.2信源编码定理5.3高效信源编码5.4Shannon-McMillan.Breiman定理本章小结习题历史注记6强典型性7离散无记忆信道8率失真理论9Blahut-Arimoto算法10微分熵11连续信道12Markov结构13信息不等式14Shannon型不等式15非Shannon型不等式16.熵与群II网络编码基础

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(JIA NA DA) YANG WEI HAO (Raymond W.Yeung) CAI NING DENG YI
Published by Higher Education Press, 2011
ISBN 10: 7040314703 ISBN 13: 9787040314700
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paperback. Condition: New. Language:Chinese.Paperback. Pages Number The: 564 information theory and network coding (translated) content by the information theory and network coding. The first part discusses closely related to discrete and continuous systems theory. Outside the traditional information theory foundation. added a measure sh8nnon type and non-shannon type inequalities. entropy function and the basic relations of group theory content. In the second part of the integrated information theory on the basis of t. Seller Inventory # N15200

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