Elements of information theory

By: Cover, Thomas MContributor(s): Thomas, Joy AMaterial type: TextTextPublication details: New York: Wiley India, [c2006]Description: 542 pISBN: 8126508140LOC classification: Q360
Contents:
1 Introduction and Preview 2 Entropy, Relative Entropy and Mutual Information 3 The Asymptotic Equipartition Property 4 Entropy Rates of a Stochastic Process 5 Data Compression 6 Gambling and Data Compression 7 Kolmogorov Complexity 8 Channel Capacity 9 Differential Entropy 10 The Gaussian Channel 11 Maximum Entropy and Spectral Estimation 12 Information Theory and Statistics 13 Rate Distortion Theory 14 Network Information Theory 15 Information Theory and the Stock Market 16 Inequalities in Information Theory
Summary: This fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided 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.
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1 Introduction and Preview
2 Entropy, Relative Entropy and Mutual Information
3 The Asymptotic Equipartition Property
4 Entropy Rates of a Stochastic Process
5 Data Compression
6 Gambling and Data Compression
7 Kolmogorov Complexity
8 Channel Capacity
9 Differential Entropy
10 The Gaussian Channel
11 Maximum Entropy and Spectral Estimation
12 Information Theory and Statistics
13 Rate Distortion Theory
14 Network Information Theory
15 Information Theory and the Stock Market
16 Inequalities in Information Theory

This fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided 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.

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