Elements of Information Theory PDF ePub eBook

Books Info:

Elements of Information Theory free pdf Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment. Chapters 1-9 cover the asymptotic equipartition property, data compression and channel capacity culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding and portfolio theory. The first edition of this book is the most successful book on Information Theory on the market today. Adoptions have remained strong since the book's publication in 1991.

About T.M. Cover

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.

Details Book

Author : T.M. Cover
Publisher : John Wiley
Data Published : 08 September 2006
ISBN : 0471241954
EAN : 9780471241959
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 776 pages
Age + : 15 years
Language : English
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