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Elements of Information Theory

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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Elements of Information Theory by Joy A. Thomas and Thomas M. Cover delves into the mathematical underpinnings of information theory and its applications. The book explores key concepts such as entropy, data compression, and the capacity of communication channels, providing rigorous theoretical foundations alongside practical examples. It's an essential resource for those interested in understanding the quantitative aspects of information in computing and technology.
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Format: Hardback
$25399
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you are fascinated by the fundamental principles of information theory and how they underpin modern computing and communications. It's perfect for those who enjoy exploring mathematical concepts and their practical applications in technology, providing in-depth insights into coding, data compression, and transmission efficiency.

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Elements of Information Theory

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory, and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment.

Chapters 1-9 cover the asymptotic equipartition property, data compression, and channel capacity, culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding, and portfolio theory.

The first edition of this book is the most successful book on information theory on the market today. Adoptions have remained strong since the book's publication in 1991.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Elements of Information Theory is praised for its exceptional exposition quality, providing clear explanations, useful graphical illustrations, and insightful mathematical derivations, which make it highly valuable as a textbook. It is also recommended as a comprehensive reference in the field of information theory.

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Book Details

INFORMATION

ISBN: 9780471241959

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 08 September 2006

Country: United States

Imprint: Wiley-Interscience

Edition: 2nd edition

Audience: Tertiary education

DIMENSIONS

Spine width: 41.0mm

Width: 163.0mm

Height: 241.0mm

Weight: 1157g

Pages: 784

About the Author

THOMAS M. COVER, PHD, is Professor in the departments of electrical engineering and statistics, Stanford University. A recipient of the 1991 IEEE Claude E. Shannon Award, Dr. Cover is a past president of the IEEE Information Theory Society, a Fellow of the IEEE and the Institute of Mathematical Statistics, and a member of the National Academy of Engineering and the American Academy of Arts and Science. He has authored more than 100 technical papers and is coeditor of Open Problems in Communication and Computation. JOY A. THOMAS, PHD, is the Chief Scientist at Stratify, Inc., a Silicon Valley start-up specializing in organizing unstructured information. After receiving his PhD at Stanford, Dr. Thomas spent more than nine years at the IBM T. J. Watson Research Center in Yorktown Heights, New York. Dr. Thomas is a recipient of the IEEE Charles LeGeyt Fortescue Fellowship.

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