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Abstract Methods in Information Theory
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Bibliographic Detail
Publisher World Scientific Pub Co Inc
Publication date December 1, 1999
Pages 220
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9789810237110
ISBN-10 9810237111
Dimensions 1 by 6.25 by 9 in.
Weight 1.10 lbs.
Published in Other
Original list price $63.00
Summaries and Reviews
Amazon.com description: Product Description: Information Theory is studied from the following view points: (1) the theory of entropy as amount of information; (2) the mathematical structure of information sources (probability measures); and (3) the theory of information channels. Shannon entropy and Kolmogorov-Sinai entropy are defined and their basic properties are examined, where the latter entropy is extended to be a linear functional on a certain set of measures. Ergodic and mixing properties of stationary sources are studied as well as AMS (asymptotically mean stationary) sources. The main purpose of this book is to present information channels in the environment of real and functional analysis as well as probability theory. Ergodic channels are characterized in various manners. Mixing and AMS channels are also considered in detail with some illustrations. A few other aspects of information channels including measurability, approximation and noncommutative extensions, are also discussed.

Editions
Hardcover
Book cover for 9789810237110 Book cover for 9789814759236
 
2 edition from World Scientific Pub Co Inc (March 31, 2017)
9789814759236 | details & prices | 392 pages | List price $108.00
About: Information Theory is studied from the following points of view: (1) the theory of entropy as amount of information; (2) the mathematical structure of information sources (probability measures); and (3) the theory of information channels.
The price comparison is for this edition
from World Scientific Pub Co Inc (December 1, 1999)
9789810237110 | details & prices | 220 pages | 6.25 × 9.00 × 1.00 in. | 1.10 lbs | List price $63.00
About: Information Theory is studied from the following view points: (1) the theory of entropy as amount of information; (2) the mathematical structure of information sources (probability measures); and (3) the theory of information channels.

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