Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of information theoretic secrecy and of zero-error information theory, including the deep connections of the latter with extremal combinatorics. The presentations of all core subjects are self contained, even the advanced topics, which helps readers to understand the important connections between seemingly different problems. Finally, 320 end-of-chapter problems, together with helpful solving hints, allow readers to develop a full command of the mathematical techniques. It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics.

Information Theory: Coding Theorems for Discrete Memoryless Systems. Probability and Mathematical Statistics. A Series of Monographs and Textbooks

Science & Math

Csiszár, Imre

Körner, János

Mathematics

Academic Pr

Information Theory

<p>Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of information theoretic secrecy and of zero-error information theory, including the deep connections of the latter with extremal combinatorics. The presentations of all core subjects are self contained, even the advanced topics, which helps readers to understand the important connections between seemingly different problems. Finally, 320 end-of-chapter problems, together with helpful solving hints, allow readers to develop a full command of the mathematical techniques. It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics.</p>

Information Theory: Coding Theorems for Discrete Memoryless Systems

Computers & Technology

Computer Science

Cambridge University Press

This volume contains a selection of papers presented at the Conference on Stochastic Differential and Difference Equations held in Hungary, August 1996. The papers cover a wide range of contemporary topics in stochastics with particular reference to control theory.

Stochastic Differential and Difference Equations (Progress in Systems and Control Theory)

Michaletzky, Gy.

Birkhäuser Boston

Crafts, Hobbies & Home

Gardening & Landscape Design

Birkhauser

Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background. Also, an introduction is provided to the theory of universal coding, and to statistical inference via the minimum description length principle motivated by that theory. The tutorial does not assume the reader has an in-depth knowledge of Information Theory or statistics. As such, Information Theory and Statistics: A Tutorial, is an excellent introductory text to this highly-important topic in mathematics, computer science and electrical engineering. It provides both students and researchers with an invaluable resource to quickly get up to speed in the field.

Information Theory and Statistics: A Tutorial (Foundations and Trends in Communications and Information The)

Shields, Paul

Csisz4ar, Imre

Now Publishers

<p>A comprehensive presentation of the central problems of information theory in the Shannon sense. Aims to present a well-integrated mathematical discipline, including substantial new developments of the '70's. The scope is limited to the discrete memoryless case in order to provide a unified, combinatorial approach that will lead to stronger results and simpler proofs, and each of the 15 sections consists of a text and problem part. Topics include simple coding; source coding; parallel treatment of the noisy channel coding problem and source coding with a distortion measure; and multi-terminal source and channel coding. Distributed by ISBS. Annotation c. by Book News, Inc., Portland, Or.</p>

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