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Entropy and Information Theory. 2nd ed. 2011
・ISBN 978-1-4419-7969-8 hard EUR 169.99
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| 著者・編者 | Gray, Robert M., |
|---|---|
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2011 |
| ページ数 | 409 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-55975＞ |
解説
This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties.
New in this edition:
- Expanded treatment of stationary or sliding-block codes and their relations to traditional block codes
- Expanded discussion of results from ergodic theory relevant to information theory
- Expanded treatment of B-processes -- processes formed by stationary coding memoryless sources
- New material on trading off information and distortion, including the Marton inequality
- New material on the properties of optimal and asymptotically optimal source codes
- New material on the relationships of source coding and rate-constrained simulation or modeling of random processes
Significant material not covered in other information theory texts includes stationary/sliding-block codes, a geometric view of information theory provided by process distance measures, and general Shannon coding theorems for asymptotic mean stationary sources, which may be neither ergodic nor stationary, and d-bar continuous channels.