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Entropy and Information Theory

Entropy and Information Theory

by Robert M. Gray
Paperback
Publication Date: 18/09/2014
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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.
ISBN:
9781489981325
9781489981325
Category:
Imaging systems & technology
Format:
Paperback
Publication Date:
18-09-2014
Publisher:
Springer-Verlag New York Inc.
Country of origin:
United States
Edition:
2nd Edition
Pages:
409
Dimensions (mm):
235x155x23mm
Weight:
0.67kg

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