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Information Theory
Buch von Imre Csiszár (u. a.)
Sprache: Englisch

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Beschreibung
Fully updated and revised edition of Csisz r and K rner's classic book on information theory.
Fully updated and revised edition of Csisz r and K rner's classic book on information theory.
Über den 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).
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.
Details
Erscheinungsjahr: 2015
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9780521196819
ISBN-10: 0521196817
Sprache: Englisch
Einband: Gebunden
Autor: Csiszár, Imre
Körner, János
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 250 x 175 x 32 mm
Von/Mit: Imre Csiszár (u. a.)
Erscheinungsdatum: 07.01.2015
Gewicht: 1,07 kg
Artikel-ID: 107159852
Über den 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).
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.
Details
Erscheinungsjahr: 2015
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
ISBN-13: 9780521196819
ISBN-10: 0521196817
Sprache: Englisch
Einband: Gebunden
Autor: Csiszár, Imre
Körner, János
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 250 x 175 x 32 mm
Von/Mit: Imre Csiszár (u. a.)
Erscheinungsdatum: 07.01.2015
Gewicht: 1,07 kg
Artikel-ID: 107159852
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