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  <titleInfo>
    <title>Information Theory and Network Coding (E-BOOK)</title>
    <subTitle>Network Coding</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Yeung, W. Raymond</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource/>
  <originInfo>
    <place>
      <placeTerm type="text">Hong Kong</placeTerm>
    </place>
    <publisher>Springer</publisher>
    <dateIssued>2008</dateIssued>
    <issuance/>
  </originInfo>
  <physicalDescription>
    <extent>597 p;</extent>
  </physicalDescription>
  <tableOfContents>The Science of Information (Page-1) Information Measures (Page-7) The I-Measure (Page-51) Zero-Error Data Compression (Page-81) Weak Typicality (Page-101) Discrete Memoryless Channels (Page-137) Rate-Distortion Theory (Page-183) The Blahut-Arimoto Algorithms (Page-211) Di_erential Entropy  (Page-229) Continuous-Valued Channels( Page-257) Information Inequalities (Page-323) Shannon-Type Inequalities (Page-339) Beyond Shannon-Type Inequalities (Page-361) Entropy and Groups (Page-387) Introduction  (Page-411) Single-Source Linear Network Coding: Acyclic Networks (Page-435) Single-Source Linear Network Coding: Cyclic Networks (Page-485) Multi-Source Network Coding (Page-505) </tableOfContents>
  <note type="statement of responsibility">Raymond W. Yeung</note>
  <subject>
    <topic>Information Theory</topic>
  </subject>
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    <recordChangeDate encoding="iso8601">20170207154319.0</recordChangeDate>
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