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.
About the Author
Thomas M. Cover is Professor jointly in the Departments of Electrical Engineering and Statistics at Stanford University..
Joy A. Thomas works at the IBM T. J. Watson Research Center in Hawthorne, New York.