Cover, Thomas M. Thomas, Joy A. Elements of Information Theory

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Details zum Produkt: Elements of Information Theory

THOMAS M. COVER, PHD, is Professor in the departments of electrical engineering and statistics, Stanford University. A recipient of the 1991 IEEE Claude E. Shannon Award, Dr. Cover is a past president of the IEEE Information Theory Society, a Fellow of the IEEE and the Institute of Mathematical Statistics, and a member of the National Academy of Engineering and the American Academy of Arts and Science. He has authored more than 100 technical papers and is coeditor of Open Problems in Communication and Computation. JOY A. THOMAS, PHD, is the Chief Scientist at Stratify, Inc., a Silicon Valley start-up specializing in organizing unstructured information. After receiving his PhD at Stanford, Dr. Thomas spent more than nine years at the IBM T. J. Watson Research Center in Yorktown Heights, New York. Dr. Thomas is a recipient of the IEEE Charles LeGeyt Fortescue Fellowship.

Zusatzinformation: Elements of Information Theory - Cover, Thomas M. Thomas, Joy A.

ISBN(s) 9780471241959
Einbandart Einband - fest (Hardcover)
Seitenanzahl 776
Sprache Englisch
Artikel Typ Physisch
Genre Importe
Kurztitel Cover, Thomas M.: Elements of Information Theory
Warengruppe HC/Informatik, EDV/Allgemeines, Lexika
ISBN-10 0471241954
Länge 245 mm
Breite 167 mm
Höhe 40 mm
Gewicht 1168 gr
Produkttyp Hardcover, Softcover
Verlag Wiley John + Sons Wiley, John, & Sons, Inc
Inhaltsverzeichnis Preface to the Second Edition.
Preface to the First Edition.
Acknowledgments for the Second Edition.
Acknowledgments for the First Edition.
1. Introduction and Preview.
2. Entropy, Relative Entropy, and Mutual Information.
3. Asymptotic Equipartition Property.
4. Entropy Rates of a Stochastic Process.
5. Data Compression.
6. Gambling and Data Compression.
7. Channel Capacity.
8. Differential Entropy.
9. Gaussian Channel.
10. Rate Distortion Theory.
11. Information Theory and Statistics.
12. Maximum Entropy.
13. Universal Source Coding.
Compression.
14. Kolmogorov Complexity.
15. Network Information Theory.
16. Information Theory and Portfolio Theory.
17. Inequalities in Information Theory.
Bibliography.
List of Symbols.
Index.

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