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Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing) - Hardcover

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9780471241959: Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)

Synopsis

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.

"synopsis" may belong to another edition of this title.

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.

From the Back Cover

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.

From the Inside Flap

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.

"About this title" may belong to another edition of this title.

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Cover, Thomas M.; Thomas, Joy A.
Published by Wiley-Interscience (edition 2), 2006
ISBN 10: 0471241954 ISBN 13: 9780471241959
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Published by Wiley-Interscience (edition 2), 2006
ISBN 10: 0471241954 ISBN 13: 9780471241959
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Published by Wiley-Interscience (edition 2), 2006
ISBN 10: 0471241954 ISBN 13: 9780471241959
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ISBN 10: 0471241954 ISBN 13: 9780471241959
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ISBN 10: 0471241954 ISBN 13: 9780471241959
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hardcover. Condition: GOOD. First Edition. Second Ed., 2006. Contains limited markings/highlighting (less than 5% of text). Cover shows edge and shelf wear but is in overall solid condition. From the personal collection of a former Computer, Engineering & Electrical Dept Professor, Univ Of Davis CA. May not include supplements such as CDs, working access codes, or DVDs. Ships from USA, quickly with care. Elements of Information Theory 2nd Edition by Thomas M. Cover and Joy A. Thomas presents a comprehensive exploration of entropy, data compression, and channel capacity. Featuring reorganized chapters, 200 new problems, and expanded content, this updated edition remains an essential resource for electrical engineering, statistics, and telecommunications students. Seller Inventory # 0Gtext12032125M2

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Hardcover. Condition: new. Hardcover. 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 teaching200 new problemsNew material on source coding, portfolio theory, and feedback capacityUpdated 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471241959

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