Information Theory: Coding Theorems for Discrete Memoryless Systems (eng)

Csiszár, Imre

ISBN 10: 1107565049 / ISBN 13: 9781107565043

Published by Cambridge University Press, 2016

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Synopsis:

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.

About the Authors: Imre Csiszár is a Research Professor at the Rényi Institute of the Hungarian Academy of Sciences, where he has worked since 1961. He is also Professor Emeritus of the University of Technology and Economics, Budapest, a Fellow of the Institute of Electronic and Electrical Engineers (IEEE) and former President of the Hungarian Mathematical Society. He has received numerous awards, including the Shannon Award of the IEEE Information Theory Society (1996).

János Körner is a Professor of Computer Science at the Sapienza University of Rome, where he has worked since 1992. Prior to this, he was a member of the Mathematical Institute of the Hungarian Academy of Sciences for over 20 years, and also worked at AT&T Bell Laboratories, Murray Hill, New Jersey, for two years.

Bibliographic Details

Title: Information Theory: Coding Theorems for ...
Publisher: Cambridge University Press
Publication Date: 2016
Binding: Soft cover
Condition: new
Edition: 2nd Edition