Entropy and Information Theory

Robert M. M. Gray

  • 出版商: Springer
  • 出版日期: 2014-09-18
  • 售價: $7,250
  • 貴賓價: 9.5$6,888
  • 語言: 英文
  • 頁數: 440
  • 裝訂: Paperback
  • ISBN: 1489981322
  • ISBN-13: 9781489981325
  • 下單後立即進貨 (約1週~2週)


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.