9789813208827-9813208821-Information Theory, Part I: An Introduction to the Fundamental Concepts

Information Theory, Part I: An Introduction to the Fundamental Concepts

ISBN-13: 9789813208827
ISBN-10: 9813208821
Author: Arieh Ben-Naim
Publication date: 2017
Publisher: World Scientific Publishing Company
Format: Hardcover 368 pages
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Book details

ISBN-13: 9789813208827
ISBN-10: 9813208821
Author: Arieh Ben-Naim
Publication date: 2017
Publisher: World Scientific Publishing Company
Format: Hardcover 368 pages

Summary

Acknowledged author Arieh Ben-Naim wrote Information Theory, Part I: An Introduction to the Fundamental Concepts comprising 368 pages back in 2017. Textbook and eTextbook are published under ISBN 9813208821 and 9789813208827. Since then Information Theory, Part I: An Introduction to the Fundamental Concepts textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional information and mutual information. Unlike many books, which refer to the Shannon's Measure of information (SMI) as "Entropy," this book makes a clear distinction between the SMI and Entropy.

In the last chapter, Entropy is derived as a special case of SMI.

Ample examples are provided which help the reader in understanding the different concepts discussed in this book. As with previous books by the author, this book aims at a clear and mystery-free presentation of the central concept in Information theory — the Shannon's Measure of Information.

This book presents the fundamental concepts of Information theory in a friendly-simple language and is devoid of all kinds of fancy and pompous statements made by authors of popular science books who write on this subject. It is unique in its presentation of Shannon's measure of information, and the clear distinction between this concept and the thermodynamic entropy.

Although some mathematical knowledge is required by the reader, the emphasis is on the concepts and their meaning rather on the mathematical details of the theory.

Readership: Students and researchers in information theory.

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