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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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