Elements of Information Theory (Relié)

2e édition

Thomas-M Cover

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  • Paru le : 01/01/2006
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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 follow each chapter recap the main points.
    • Introduction and Preview
    • Entropy, Relative Entropy, and Mutual Information
    • Asymptotic Equipartition Property
    • Entropy Rates of a Stochastic Process
    • Data Compression
    • Gambling and Data Compression
    • Channel Capacity
    • Differential Entropy
    • Gaussian Channel
    • Rate Distortion Theory
    • Information Theory and Statistics
    • Maximum Entropy
    • Universal Source Coding
    • Kolmogorov Complexity
    • Network Information Theory
    • Information Theory and Portolio Theory
    • Inequalities in Information Theory
  • Date de parution : 01/01/2006
  • Editeur : Wiley
  • ISBN : 0-471-24195-4
  • EAN : 9780471241959
  • Présentation : Relié
  • Nb. de pages : 748 pages
  • Poids : 1.165 Kg
  • Dimensions : 16,5 cm × 24,5 cm × 3,5 cm

Biographie de 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 American Academy of Arts and Science.
He has authored more than 100 technical papers and his 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 Le Geyt Fortescue Fellowship.

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Elements of Information Theory 2e édition
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