Robert M Gray: Entropy and Information Theory

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Cover: 9781441979698 | Entropy and Information Theory | Robert M Gray | Buch | xxvii | 2011

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Sprache: Englisch

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Beschreibung

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.

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

Über den Autor

Robert M. Gray is the Alcatel-Lucent Technologies Professor of Communications and Networking in the School of Engineering and Professor of Electrical Engineering at Stanford University. For over four decades he has done research, taught, and published in the areas of information theory and statistical signal processing. He is a Fellow of the IEEE and the Institute for Mathematical Statistics. He has won several professional awards, including a Guggenheim Fellowship, the Society Award and Education Award of the IEEE Signal Processing Society, the Claude E. Shannon Award from the IEEE Information Theory Society, the Jack S. Kilby Signal Processing Medal, Centennial Medal, and Third Millennium Medal from the IEEE, and a Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring (PAESMEM). He is a member of the National Academy of Engineering.

Zusammenfassung

New edition of classic text

Important engineering applications of performance bounds and code design for communication systems

Distinguished author

Includes supplementary material: [...]

Inhaltsverzeichnis

Preface.- Introduction.- Information Sources.- Pair Processes: Channels, Codes, and Couplings.- Entropy.- The Entropy Ergodic Theorem.- Distortion and Approximation.- Distortion and Entropy.- Relative Entropy.- Information Rates.- Distortion vs. Rate.- Relative Entropy Rates.- Ergodic Theorems for Densities.- Source Coding Theorems.- Coding for Noisy Channels.- Bibliography.- References.- Index

Details

Erscheinungsjahr:	2011
Fachbereich:	Nachrichtentechnik
Genre:	Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	409
Inhalt:	xxvii 409 S.
ISBN-13:	9781441979698
ISBN-10:	1441979697
Sprache:	Englisch
Herstellernummer:	12557974
Einband:	Gebunden
Autor:	Gray, Robert M
Auflage:	2nd 2011 edition
Hersteller:	Springer US Springer Nature Singapore
Maße:	243 x 167 x 32 mm
Von/Mit:	Robert M Gray
Erscheinungsdatum:	03.02.2011
Gewicht:	0,777 kg

preigu-id: 107264665