Cover, M. Thomas.  <br/><br/>
Elements of information theory / 
Thomas M. Cover and Joy A. Thomas 
 - 2nd ed.  
 - New York:  John Wiley & Sons;  2006. 
 - xxiii, 748 p.  
<br/><br/>Table of contents:<br/>Entropy, relative entropy, and mutual information --<br/>Asymptotic equipartition property --<br/>Entropy rates of a stochastic process --<br/>Data compression --<br/>Gambling and data compression --<br/>Channel capacity --<br/>Differential entropy --<br/>Gaussian channel --<br/>Rate distortion theory --<br/>Information theory and statistics --<br/>Maximum entropy --<br/>Universal source coding --<br/>Kolmogorov complexity --<br/>Network information theory --<br/>Information theory and portfolio theory --<br/>Inequalities in information theory. 
<br/><br/> Summary:<br/>Covers the standard topics of information theory, including entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing, presenting applications in communications, statistics, complexity theory and investment. 
<br/><br/><label>ISBN: </label>9780471748823 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Information theory
<br/><br/><label>Dewey Class. No.: </label>003.54  / COV