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 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 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.
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Title: Entropy And Information Theory By Robert M. Gray 9781441979698 NE
Weight: 912
EAN: 9781441979698
ISBN-10: 9781441979698
Date of Publication: 2011-02
Place of Publication: 2011-02
Book Series: Springer
Genre: TECHNOLOGY & ENGINEERING / Electronics / General
Narrative Type: N/A
Features: N/A
Intended Audience: N/A
Ex Libris: No
Editor: N/A
Edition: N/A
Pagination: 440
Dimensions: 921x614
Number of Pages: 409 Pages
Language: English
Publication Name: Entropy and Information Theory
Publisher: Springer-Verlag New York Inc.
Publication Year: 2011
Subject: Engineering & Technology, Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 1750 g
Type: Textbook
Author: Robert M. Gray
Subject Area: Information Science
Item Width: 155 mm
Format: Hardcover
