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An Introduction to Information Theory by John R. Pierce
Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. "Uncommonly good...the most satisfying discussion to be found." — Scientific American. 1980 edition.
Table of Contents for An Introduction to Information Theory
| 0. Preface to the Dover Edition | | 1. The World and Theories | | 2. The Origins of Information Theory | | 3. A Mathematical Model | | 4. Encoding and Binary Digits | | 5. Entropy | | 6. Language and Meaning | | 7. Efficient Encoding | | 8. The Noisy Channel | | 9. Many Dimensions | | 10. Information Theory and Physics | | 11. Cybernetics | | 12. Information Theory and Psychology | | 13. Information Theory and Art | | 14. Back to Communication Theory | | Appendix: On Mathematical Notation | | Glossary | | Index |
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