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Synopsis
Fully updated and revised edition of Csiszár and Körner's classic book on information theory.
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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.
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Cambridge University Press, 2011
ISBN 10: 0521196817
ISBN 13: 9780521196819
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Cambridge University Press (edition 2), 2011
ISBN 10: 0521196817
ISBN 13: 9780521196819
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Hardcover. Condition: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 0521196817-8-1
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Cambridge University Press, 2011
ISBN 10: 0521196817
ISBN 13: 9780521196819
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Cambridge University Press, 2011
ISBN 10: 0521196817
ISBN 13: 9780521196819
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hardcover. Condition: Very Good. Signed. Inscribed by author to former owner. Light shelf wear. Tabbing, underlining, and notations by previous owner: a philosophy professor. Else clean and tight. Seller Inventory # mon0000152884
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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ISBN 10: 0521196817
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Cambridge University Press, 2011
ISBN 10: 0521196817
ISBN 13: 9780521196819
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Condition: New. Fully updated and revised edition of Csiszar and Korner's classic book on information theory. Num Pages: 522 pages, 53 b/w illus. 347 exercises. BIC Classification: GPF; PBKS; TJK. Category: (P) Professional & Vocational. Dimension: 179 x 250 x 28. Weight in Grams: 1052. . 2011. 2nd Edition. hardcover. . . . . Seller Inventory # V9780521196819
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Information Theory: Coding Theorems for Discrete Memoryless Systems
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Information Theory
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Cambridge University Press, 2015
ISBN 10: 0521196817
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by two pioneering researchers, Information Theory provides in-depth coverage of the mathematics of communication, data processing, transmission and provable security. Updated and expanded, this new edition discusses information theoretic secrecy and. Seller Inventory # 446929679
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Information Theory (Hardcover)
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Cambridge University Press, Cambridge, 2011
ISBN 10: 0521196817
ISBN 13: 9780521196819
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Hardcover. Condition: new. Hardcover. Csiszar and Koerner'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 hints for solving them, 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. Written by two pioneering researchers, Information Theory provides in-depth coverage of the mathematics of communication, data processing, transmission and provable security. Updated and expanded, this new edition discusses information theoretic secrecy and zero-error information, and includes 320 end-of-chapter problems and hints for solving them. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521196819
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