An Introduction to Single-User Information Theory

Nonfiction, Science & Nature, Mathematics, Applied
Cover of the book An Introduction to Single-User Information Theory by Fady Alajaji, Po-Ning Chen, Springer Singapore
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Author: Fady Alajaji, Po-Ning Chen ISBN: 9789811080012
Publisher: Springer Singapore Publication: April 24, 2018
Imprint: Springer Language: English
Author: Fady Alajaji, Po-Ning Chen
ISBN: 9789811080012
Publisher: Springer Singapore
Publication: April 24, 2018
Imprint: Springer
Language: English

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.

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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.

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