Elements of information theory

By: Cover, M.T. and ThomasContributor(s): Thomas, joy AMaterial type: TextTextPublication details: New Delhi: Wiley India, [c2016]Edition: 2nd edDescription: 747 pISBN: 9788126541942Subject(s): General ScienceDDC classification: Q360
Contents:
1. Introduction and Preview 2. Entropy, Relative Entropy, and Mutual Information 3. Asymptotic Equipartition Property 4. Entropy Rates of a Stochastic Process 5. Data Compression 6. Gambling and Data Compression 7. Channel Capacity 8. Differential Entropy 9. Gaussian Channel 10. Rate Distortion Theory 11. Information Theory and Statistics 12. Maximum Entropy 13. Universal Source Coding 14. Kolmogorov Complexity 15. Network Information Theory 16. Information Theory and Portfolio Theory 17. Inequalities in Information Theory
Summary: 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.
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Item type Current library Collection Shelving location Call number Status Notes Date due Barcode Item holds
Book Book ICTS
General Sc Rack No 3 Q360 (Browse shelf (Opens below)) Available Billno:IN 004 702; Billdate: 2018-03-08 01015
Total holds: 0

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

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.

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