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Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
 
 

Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) (Hardcover)

by Thomas M. Cover (Author), Joy A. Thomas (Author) "Information theory answers two fundamental questions in communication theory: What is the ultimate data compression (answer: the entropy H), and what is the ultimate transmission..." (more)
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Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) + Information Theory, Inference and Learning Algorithms + Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics)
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Product details

  • Hardcover: 776 pages
  • Publisher: WileyBlackwell; 2nd Edition edition (8 Sep 2006)
  • Language English
  • ISBN-10: 0471241954
  • ISBN-13: 978-0471241959
  • Product Dimensions: 23.8 x 15.8 x 4.2 cm
  • Average Customer Review: 5.0 out of 5 stars See all reviews (3 customer reviews)
  • Amazon.co.uk Sales Rank: 191,943 in Books (See Bestsellers in Books)

    Popular in this category:

    #21 in  Books > Computing & Internet > Computer Science > Information Systems > Information Theory
  • See Complete Table of Contents

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Product Description

Review
"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)

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

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Inside This Book (Learn More)
First Sentence
Information theory answers two fundamental questions in communication theory: What is the ultimate data compression (answer: the entropy H), and what is the ultimate transmission rate of communication (answer: the channel capacity C). Read the first page
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Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
86% buy the item featured on this page:
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) 5.0 out of 5 stars (3)
£60.75
Information Theory, Inference and Learning Algorithms
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Information Theory, Inference and Learning Algorithms 5.0 out of 5 stars (3)
£33.25
Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics)
5% buy
Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics) 4.3 out of 5 stars (6)
£56.99

 

Customer Reviews

3 Reviews
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Average Customer Review
5.0 out of 5 stars (3 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
8 of 8 people found the following review helpful:
5.0 out of 5 stars Very thorough and readable intro text, 22 Jul 1999
By A Customer
Cover and Thomas have written an excellent book on information theory. This book is suitable for an introductory type course but the entire book probably cannot be covered at once. All of the explanations and proofs are very understandable, although the section on types can be a tad confusing at times! I would not recommend this book to someone with a casual interest in information theory, rather to someone who wants a more rigorous treatment of the underlying mathematics.
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3 of 3 people found the following review helpful:
5.0 out of 5 stars Excellent modern overview of information theory., 20 Feb 1998
By A Customer
I feel this is a very well written and organized overview of the most important aspects of information theory for both science and communications technology. The chapter on the theory of types is worth the price of admission alone!
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2 of 6 people found the following review helpful:
5.0 out of 5 stars Highly recommend, 21 Aug 1998
By A Customer
This book presents the Shannon Theory in the most elegant way possible!
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