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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Research & information: general Information theory

• Plný název: Entropy and Information Theory
• Autor: Robert M. Gray
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 409
• EAN: 9781441979698
• ISBN: 1441979697
• ID: 04226795
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 850 g
• Rozměry: 237 × 166 × 34 mm
• Datum vydání: 03. February 2011

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