Elements of Information Theory

Thomas M. Cover, Joy A. Thomas

760 pages, parution le 15/07/2006 (2^eme édition)

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Résumé

Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment. Chapters 1-9 cover the asymptotic equipartition property, data compression, and channel capacity culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding, and portfolio theory.

The first edition of this book is the most successful book on information theory on the market today. Adoptions have remained strong since the book's publication in 1991.

Sommaire

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 Portfolio Theory
Inequalities in Information Theory

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Thomas M. Cover, Joy A. Thomas
Parution	15/07/2006
Édition	2^eme édition
Nb. de pages	760
Format	16,5 x 24
Couverture	Relié
Poids	1165g
Intérieur	Noir et Blanc
EAN13	9780471241959
ISBN13	978-0-471-24195-9