Elements of information theory /

The latest edition of this classic is updated with new systems and materials problems The second edition of this book maintains the tradition fundamental text book clear instructions, reflection. Readers are provided once again with an instructive mix of mathematics, physics, statistics and informat...

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Bibliographic Details
Main Author: Cover, Thomas M. (autor)
Other Authors: Thomas, Joy A. (autor)
Format: Book
Language:English
Published: Hoboken: John Wiley y Sons, 2006.
Edition:Segunda edición
Subjects:

MARC

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505 1 |a Preface to the Second Edition -- Preface to the first edition -- Acknowledgments for the second edition -- Acknowledgments for the first edition -- 1. Introduction and Preview -- Entropy, relative entropy and mutual information -- Entropy -- Joint Entropy and Conditional Entropy -- The relative entropy and mutual information -- Relationship between entropy and mutual information -- 3. Asymptotic Equipartition Property -- 4. Entropy Rates of a Stochastic Process -- 5. Data Compression -- 6. Gambling and Data Comprenssion -- 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 -- 14. Kolmogorov Complexity -- 15. Network Information Theory -- 16. Information Theory and Portfolio Theory -- 17. Inequalities in Information Theory. 
520 3 |a The latest edition of this classic is updated with new systems and materials problems The second edition of this book maintains the tradition fundamental text book clear instructions, reflection. Readers are provided once again with an instructive mix of mathematics, physics, statistics and information theory. All the essential topics of information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion theory of network information, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter summarizes the main points. The second edition includes: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements the information theory book remains ideal for upper-level undergraduate and graduate courses in electrical engineering, statistics and telecommunications text. 
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