Can I read Entropy and Information Theory on EtoBox?

Entropy and Information Theory by Robert M. Gray (auth.) is a nonfiction available to read on EtoBox.

What is Entropy and Information Theory about?

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,

Who reads Entropy and Information Theory?

Author

Robert M. Gray (auth.)

Publisher

Springer Science + Business Media, LLC

Published

2011

Language

EN

ISBN

9781441979698

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science