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  <titleInfo>
    <title>Elements of Information Theory</title>
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  <name type="personal">
    <namePart>Cover, Thomas M</namePart>
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  <name type="personal">
    <namePart> Thomas, Joy A</namePart>
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    <place>
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    <publisher>Wiley India Pvt. Ltd. India</publisher>
    <dateIssued>2016,c2006</dateIssued>
    <dateIssued encoding="marc">9999</dateIssued>
    <edition>2nd </edition>
    <issuance>monographic</issuance>
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  <note>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.</note>
  <note>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.</note>
  <subject>
    <topic>CSE</topic>
  </subject>
  <classification authority="ddc">003.54  COV</classification>
  <identifier type="isbn">9788126541942</identifier>
  <identifier type="">Allied Informatics, Jaipur</identifier>
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