Fr. 270.00

Information Theory - Coding Theorems for Discrete Memoryless Systems

English · Hardback

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Informationen zum Autor 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. Klappentext Fully updated and revised edition of Csisz r and K rner's classic book on information theory. Zusammenfassung 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. Inhaltsverzeichnis Part I. Information Measures in Simple Coding Problems: 1. Source coding and hypothesis testing: information measures; 2. Types and typical sequences; 3. Some formal properties of Shannon's information measures; 4. Non-block source coding; 5. Blowing up lemma: a combinatorial digression; Part II. Two-Terminal Systems: 6. The noisy channel problem; 7. Rate-distortion trade-off in source coding and the source-channel transmission problem; 8. Computation of channel capacity and ¿-distortion rates; 9. A covering lemma: error exponent in source coding; 10. A packing lemma: on the error exponent in channel coding; 11. The compound channel revisited: zero-error information theory and extremal combinatorics; 12. Arbitrary varying channels; Part III. Multi-Terminal Systems: 13. Separate coding of correlated source; 14. Multiple-access channels; 15. Entropy and image size characteristics; 16. Source and channel networks; 17. Information-theoretic security....

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