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Title details for Elements of Information Theory by Thomas M. Cover - Available

Elements of Information Theory

by Thomas M. Cover
Joy A. Thomas
ebook
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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.
Expand title description text
Publisher: Wiley Edition: 2

Kindle Book

  • Release date: July 11, 2006

OverDrive Read

  • ISBN: 9781118585771
  • Release date: July 11, 2006

EPUB ebook

  • ISBN: 9781118585771
  • File size: 12117 KB
  • Release date: July 11, 2006

Formats

Kindle Book
OverDrive Read
EPUB ebook

subjects

Computer Technology Nonfiction

Languages

English

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.
Expand title description text
Computer Technology Nonfiction