Thomas M. Cover, Joy A. Thomas

Elements of Information Theory

• Gebundenes Buch

Produktbeschreibung

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.

---

The latest edition of this classic is updated with new problem setsand material

The Second Edition of this fundamental textbook maintains thebook s tradition of clear, thought-provoking instruction. Readersare provided once again with an instructive mix of mathematics,physics, statistics, and information theory.

All the essential topics in information theory are covered indetail, including entropy, data compression, channel capacity, ratedistortion, network information theory, and hypothesis testing. Theauthors provide readers with a solid understanding of theunderlying theory and applications. Problem sets and a telegraphicsummary at the end of each chapter further assist readers. Thehistorical notes that follow each chapter recap the mainpoints.

The Second Edition features:
Chapters reorganized to improve teaching
200 new problems
New material on source coding, portfolio theory, and feedbackcapacity
Updated references

Now current and enhanced, the Second Edition of Elements ofInformation Theory remains the ideal textbook for upper-levelundergraduate and graduate courses in electrical engineering,statistics, and telecommunications.
An Instructor s Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Produktdetails

• Wiley-Interscience
• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14624195000
• 2. Aufl.
• Seitenzahl: 784
• Erscheinungstermin: 8. September 2006
• Englisch
• Abmessung: 240mm x 161mm x 46mm
• Gewicht: 1165g
• ISBN-13: 9780471241959
• ISBN-10: 0471241954
• Artikelnr.: 15166288

Autorenporträt

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.

Inhaltsangabe

Preface to the Second Edition. Preface to the First Edition.
Acknowledgments for the Second Edition. Acknowledgments for the First
Edition. 1. Introduction and Preview. 2. Entropy, Relative Entropy, and
Mutual Information. 3. Asymptotic Equipartition Property. 4. Entropy Rates
of a Stochastic Process. 5. Data Compression. 6. Gambling and Data
Compression. 7. Channel Capacity. 8. Differential Entropy. 9. Gaussian
Channel. 10. Rate Distortion Theory. 11. Information Theory and Statistics.
12. Maximum Entropy. 13. Universal Source Coding. Compression. 14.
Kolmogorov Complexity. 15. Network Information Theory. 16. Information
Theory and Portfolio Theory. 17. Inequalities in Information Theory.
Bibliography. List of Symbols. Index.

Rezensionen

"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)

"This book is recommended reading, both as a textbook and as a reference." (Computing Reviews.com, December 28, 2006)