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Image of - An Introduction To Single User Information Theory | Paperback
An Introduction To Single User Information Theory | Paperback

An Introduction To Single User Information Theory | Paperback

by Alajaji F.

This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannons information theory, discussing the fundamental concepts and indispensable results of Shannons 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 instructors solutions manual is available.

Highlights

  • binding-icon

    9789811340383

    ISBN:

  • binding-icon

    Alajaji F.

    Author:

  • binding-icon

    323

    Pages:

  • binding-icon

    481 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2018

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Paperback

    Binding:

₹4284

₹5355

This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannons information theory, discussing the fundamental concepts and indispensable results of Shannons 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 instructors solutions manual is available.

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