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Item Details
| Title:
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ENTROPY AND INFORMATION THEORY
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| By: |
Robert M. Gray |
| Format: |
Hardback |
| List price:
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£139.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1441979697 |
| ISBN 13: |
9781441979698 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
3 February, 2011 |
| Edition: |
2nd ed. 2011 |
| Pages: |
409 |
| Description: |
This fully updated new edition of the classic work on information theory presents a detailed analysis of Shannon-source and channel-coding theorems, before moving on to address sources, channels, codes and the properties of information and distortion measures. |
| Synopsis: |
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 codesExpanded discussion of results from ergodic theory relevant to information theoryExpanded treatment of B-processes -- processes formed by stationary coding memoryless sourcesNew material on trading off information and distortion, including the Marton inequalityNew material on the properties of optimal and asymptotically optimal source codesNew material on the relationships of source coding and rate-constrained simulation or modeling of random processesSignificant 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. |
| Illustrations: |
XXVII, 409 p. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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