Elements of Information Theory

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Thomas M. Cover (Stanford University, California) Joy A. Thomas (IBM T. J. Watson Research Center, Yorktown Heights, New York)

Elements of Information Theory

Thomas M. Cover (Stanford University, California), Joy A. Thomas (IBM T. J. Watson Research Center, Yorktown Heights, New York)

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English

JOHN WILEY & SONS
28 June 2006

Information theory; Mathematics & Sciences

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.

All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.

The Second Edition features:

Chapters reorganized to improve teaching 200 new problems New material on source coding, portfolio theory, and feedback capacity Updated references

Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

By: Thomas M. Cover (Stanford University California), Joy A. Thomas (IBM T. J. Watson Research Center, Yorktown Heights, New York)
Imprint: JOHN WILEY & SONS
Country of Publication: United States
Edition: 2nd Revised edition
Dimensions: Height: 241mm, Width: 163mm, Spine: 41mm
Weight: 1.157kg
ISBN: 9780471241959
ISBN 10: 0471241954
Pages: 776
Publication Date: 28 June 2006
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

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.

Reviews for Elements of Information Theory

As expected, the quality of exposition continues to be a high point of the book. Clear explanations, nice graphical illustrations, and illuminating mathematical derivations make the book particularly useful as a textbook on information theory. (Journal of the American Statistical Association, March 2008) This book is recommended reading, both as a textbook and as a reference. (Computing Reviews.com, December 28, 2006)