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Entropy and Information Theory
Springer Science + Business Media, LLC 2011 ;ISBN: 1441979697 ;ISBN: 9781441979698 ;ISBN: 9781489981325 ;ISBN: 1489981322 ;EISBN: 1441979700 ;EISBN: 9781441979704 ;DOI: 10.1007/978-1-4419-7970-4 ;OCLC: 704398907
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Title:
Entropy and Information Theory
Author:
Gray, Robert M
Subjects:
Coding and Information Theory
;
Coding theory
;
Communications Engineering, Networks
;
Distribution (Probability theory)
;
Engineering
;
Entropy (Information theory)
;
Probability Theory and Stochastic Processes
;
Signal, Image and
Speech
Processing
;
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Description:
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 inequality. New 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.
Publisher:
New York, NY: Springer Science + Business Media
Creation Date:
2011
Format:
429
Language:
German;English
Identifier:
ISBN: 1441979697
ISBN: 9781441979698
ISBN: 9781489981325
ISBN: 1489981322
EISBN: 1441979700
EISBN: 9781441979704
DOI: 10.1007/978-1-4419-7970-4
OCLC: 704398907
Source:
Alma/SFX Local Collection
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