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Elements of Information Theory

By: Contributor(s): 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

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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