Elements of Information Theory

By:

Cover, Thomas M

Material type: Text

TextPublication details: New Delhi Wiley, 2006Edition: 1st edDescription: 776 p.; 18x24 cmISBN:

8126508140

Subject(s):

Entropy, relative entropy and mutual information, the asymptotic equipartition property, entropy rates of a stochastic process, data compression, gambling and data compression, complexity, channel capacity, differential entropy, the gaussian channel, maximum entropy and spectral estimation, information theory and statistics, rate distortion theory, network information theory, information theory and the stock market, inequalities in information theory

DDC classification:

003.54 COV

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Air University Multan Campus Library Computer Science	Computer Science	003.54 COV (Browse shelf(Opens below))	Available	P000113

About the Book: Elements Of Information Theory Contents Entropy, Relative Entropy and Mutual Information The Asymptotic Equipartition Property Entropy Rates of a Stochastic Process Data Compression Gambling and Data Compression Kolmogorov Complexity Channel Capacity Differential Entropy The Gaussian Channel Maximum Entropy and Spectral Estimation Information Theory and Statistics Rate Distortion Theory Network Information Theory Information Theory and the Stock Market Inequalities in Information Theory Bibliography List of Symbols Index

Including with index

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Elements of Information Theory