Elements of information theory / Thomas M. Cover, Joy A. Thomas.

By: Cover, T. M, Contributor(s): Thomas, Joy AMaterial type: TextTextPublication details: New Delhi: Wiley, c2017Edition: 2nd edDescription: xxiii, 748 p. : ill. ; 24 cmISBN: 9788126541942 (pbk)Subject(s): Information theoryDDC classification: 003.54
Contents:
Chapter 1: Introduction and Preview------ Chapter 2: Entropy, Relative Entropy, and Mutual Information----- Chapter 3: Asymptotic Equipartition Property------ Chapter 4: Entropy Rates of a Stochastic Process------ Chapter 5: Data Compression------ Chapter 6: Gambling and Data Compression------ Chapter 7: Channel Capacity----- Chapter 8: Differential Entropy------ Chapter 9: Gaussian Channel------ Chapter 10: Rate Distortion Theory------ Chapter 11: Information Theory and Statistics------ Chapter 12: Maximum Entropy------ Chapter 13: Universal Source Coding----- Chapter 14: Kolmogorov Complexity------ Chapter 15: Network Information Theory----- Chapter 16: Information Theory and Portfolio Theory------ Chapter 17: Inequalities in Information Theory------
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Namal Library
Computer Science 		003.54 COV-E 2017 9865 (Browse shelf (Opens below)) Available 0009865
Total holds: 0

Includes bibliographical references (p. 689-721) and index.

Chapter 1: Introduction and Preview------
Chapter 2: Entropy, Relative Entropy, and Mutual Information-----
Chapter 3: Asymptotic Equipartition Property------
Chapter 4: Entropy Rates of a Stochastic Process------
Chapter 5: Data Compression------
Chapter 6: Gambling and Data Compression------
Chapter 7: Channel Capacity-----
Chapter 8: Differential Entropy------
Chapter 9: Gaussian Channel------
Chapter 10: Rate Distortion Theory------
Chapter 11: Information Theory and Statistics------
Chapter 12: Maximum Entropy------
Chapter 13: Universal Source Coding-----
Chapter 14: Kolmogorov Complexity------
Chapter 15: Network Information Theory-----
Chapter 16: Information Theory and Portfolio Theory------
Chapter 17: Inequalities in Information Theory------

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