Ebook: Entropy and Information Theory
Author: Robert M. Gray (auth.)
- Tags: Coding and Information Theory, Artificial Intelligence (incl. Robotics), Statistical Physics Dynamical Systems and Complexity, Appl.Mathematics/Computational Methods of Engineering, Probability Theory and Stochastic Processes, Control
- Year: 1990
- Publisher: Springer New York
- Language: English
- pdf
Content:
Front Matter....Pages i-xxiii
Information Sources....Pages 1-19
Entropy and Information....Pages 21-55
The Entropy Ergodic Theorem....Pages 57-76
Information Rates I....Pages 77-88
Relative Entropy....Pages 89-134
Information Rates II....Pages 135-148
Relative Entropy Rates....Pages 149-164
Ergodic Theorems for Densities....Pages 165-179
Channels and Codes....Pages 181-215
Distortion....Pages 217-239
Source Coding Theorems....Pages 241-275
Coding for noisy channels....Pages 277-313
Back Matter....Pages 315-332
Content:
Front Matter....Pages i-xxiii
Information Sources....Pages 1-19
Entropy and Information....Pages 21-55
The Entropy Ergodic Theorem....Pages 57-76
Information Rates I....Pages 77-88
Relative Entropy....Pages 89-134
Information Rates II....Pages 135-148
Relative Entropy Rates....Pages 149-164
Ergodic Theorems for Densities....Pages 165-179
Channels and Codes....Pages 181-215
Distortion....Pages 217-239
Source Coding Theorems....Pages 241-275
Coding for noisy channels....Pages 277-313
Back Matter....Pages 315-332
....
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