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Название: Entropy and Information Theory, Second Edition
Автор: Gray R.
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