Elements of Information Theory

Copyright © 1991 John Wiley & Sons, Inc.

Elements of Information Theory

Author(s): Thomas M. Cover, Joy A. Thomas

Published Online: 5 OCT 2001

Print ISBN: 9780471062592

Online ISBN: 9780471200611

DOI: 10.1002/0471200611

Series Editor(s): Donald L. Schilling

Table of contents

    1. You have free access to this content
      Frontmatter and Index (pages i–xxiii)

    2. Chapter 1

      Introduction and Preview (pages 1–11)

    3. Chapter 2

      Entropy, Relative Entropy and Mutual Information (pages 12–49)

    4. Chapter 3

      The Asymptotic Equipartition Property (pages 50–59)

    5. Chapter 4

      Entropy Rates of a Stochastic Process (pages 60–77)

    6. Chapter 5

      Data Compression (pages 78–124)

    7. Chapter 6

      Gambling and Data Compression (pages 125–143)

    8. Chapter 7

      Kolmogorov Complexity (pages 144–182)

    9. Chapter 8

      Channel Capacity (pages 183–223)

    10. Chapter 9

      Differential Entropy (pages 224–238)

    11. Chapter 10

      The Gaussian Channel (pages 239–265)

    12. Chapter 11

      Maximum Entropy and Spectral Estimation (pages 266–278)

    13. Chapter 12

      Information Theory and Statistics (pages 279–335)

    14. Chapter 13

      Rate Distortion Theory (pages 336–373)

    15. Chapter 14

      Network Information Theory (pages 374–458)

    16. Chapter 15

      Information Theory and the Stock Market (pages 459–481)

    17. Chapter 16

      Inequalities in Information Theory (pages 482–509)

    18. You have free access to this content
      Bibliography (pages 510–525)

    19. You have free access to this content
      List of Symbols (pages 526–527)

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