TY  - BOOK
AU  - Cover, Thomas M.
AU  - Thomas, Joy A.
TI  - Elements of information theory
SN  - 8126508140
AV  - Q360 
PY  - 2006///]
CY  - New York
PB  - Wiley India
N1  - 1 Introduction and Preview
2 Entropy, Relative Entropy and Mutual Information
3 The Asymptotic Equipartition Property
4 Entropy Rates of a Stochastic Process 
5 Data Compression 
6 Gambling and Data Compression
7 Kolmogorov Complexity 
8 Channel Capacity
9 Differential Entropy
10 The Gaussian Channel
11 Maximum Entropy and Spectral Estimation
12 Information Theory and Statistics
13 Rate Distortion Theory 
14 Network Information Theory
15 Information Theory and the Stock Market
16 Inequalities in Information Theory

N2  -  This fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, 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.
ER  -