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

By: Contributor(s): Material type: TextTextPublication details: Hoboken, N.J. : Wiley-Interscience, c2006Edition: 2nd edDescription: xxiii, 748 p. : ill. ; 25 cmISBN:
  • 0471241954
  • 9780471341959
Subject(s): DDC classification:
  • 003.54 22
LOC classification:
  • Q360 .C68 2006
Online resources:
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.
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Includes bibliographical references (p. 689-721) and index.

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.

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