Elements of Information Theory
Thomas M. Cover
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Description for Elements of Information Theory
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. Num Pages: 776 pages, Illustrations. BIC Classification: GPF. Category: (P) Professional & Vocational. Dimension: 241 x 157 x 40. Weight in Grams: 1194.
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 ... Read more
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 ... Read more
Product Details
Publisher
John Wiley and Sons Ltd United States
Number of pages
776
Format
Hardback
Publication date
2006
Condition
New
Number of Pages
784
Place of Publication
, United States
ISBN
9780471241959
SKU
V9780471241959
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Thomas M. Cover
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 ... Read more
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 ... Read more