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＜電子ブック＞
An Introduction to Single-User Information Theory / by Fady Alajaji, Po-Ning Chen
(Springer Undergraduate Texts in Mathematics and Technology. ISSN:18675514)

版	1st ed. 2018.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2018
本文言語	英語
大きさ	XVII, 323 p. 30 illus : online resource
著者標目	*Alajaji, Fady author Chen, Po-Ning author SpringerLink (Online service)
件　名	LCSH:Computer science -- Mathematics  全ての件名で検索 FREE:Mathematical Applications in Computer Science
一般注記	Introduction -- Information Measures for Discrete Systems -- Lossless Data Compression -- Data Transmission and Channel Capacity -- Differential Entropy and Gaussian Channels -- Lossy Data Compression and Transmission This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available HTTP:URL=https://doi.org/10.1007/978-981-10-8001-2

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