Elements of Information Theory

By:

Cover, Thomas M

Contributor(s):

Thomas, Joy A

Material type:

TextPublisher number: 2016 | Allied Informatics, JaipurPublication details: Wiley India Pvt. Ltd. India New Delhi 2016,c2006Edition: 2ndDescription: 748ISBN:

9788126541942

Subject(s):

DDC classification:

003.54 COV

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Item type	Current library	Collection	Call number	Status	Barcode
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	002085
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	002086
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	002087
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	002088
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	002089
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	001903
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	001904
Books	BSDU Knowledge Resource Center, Jaipur	Not for Loan	003.54 COV (Browse shelf(Opens below))	Not For Loan	001905
Books	BSDU Knowledge Resource Center, Jaipur		003.54 COV (Browse shelf(Opens below))	Available	001906

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	001.42 KOT Research Methodology	001.42 MUK Theory and Methods of Survey Sampling	001.42 PAN Research Methodology : Methods and Techniques	003.54 COV Elements of Information Theory	003.85 JAI Modeling and Simulation Using MATLAB- Simulink	004 BAL Fundamentals of Computers	004 COM Computer Fundamentals, MS-Office, Internet & soft Skills : Modular Employable Skills	Next

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.

Contents
• Introduction and Preview.

• Entropy, Relative Entropy and Mutual Information.

• Asymptotic Equipartition Property.

• Entropy Rates of a Stochastic Process.

• Data Compression.

• Gambling and Data Compression.

• Channel Capacity.

• Differential Entropy.

• Gaussian Channel.

• Rate Distortion Theory.

• Information Theory and Statistics.

• Maximum Entropy.

• Universal Source Coding.

• Kolmogorov Complexity.

• Network Information Theory.

• Information Theory and Portfolio Theory.

• Inequalities in Information Theory.

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