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This book is an updated version of the information theory classic, first published in 1990. About onethird 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 slidingblock codes and their relations to traditional block codes Expanded discussion of results from ergodic theory relevant to information theory Expanded treatment of Bprocesses 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 rateconstrained simulation or modeling of random processesSignificant material not covered in other information theory texts includes stationary/slidingblock 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 dbar continuous channels.
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