A First Course in Information Theory (Hardcover, 1st ed. 2002. Corr. 3rd printing. 2006)


This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.


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Product Description

This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.

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Product Details

General

Imprint

Kluwer Academic / Plenum Publishers

Country of origin

United States

Series

Information Technology: Transmission, Processing and Storage

Release date

June 2006

Availability

Expected to ship within 10 - 15 working days

First published

July 2006

Authors

Dimensions

235 x 155 x 32mm (L x W x T)

Format

Hardcover

Pages

412

Edition

1st ed. 2002. Corr. 3rd printing. 2006

ISBN-13

978-0-306-46791-2

Barcode

9780306467912

Categories

LSN

0-306-46791-7



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