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  <titleInfo>
    <title>Entropy and information theory</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gray, Robert M.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource/>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Springer-Verlag</publisher>
    <dateIssued>c1990</dateIssued>
    <issuance/>
  </originInfo>
  <physicalDescription>
    <extent>xxiii, 332 p. ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Information Sources (Page-1), Entropy and Information (Page-21), The Entropy Ergodic Theorem (Page-57), Information Rates I (Page-77), Relative Entropy (Page-89), Information Rates II (Page-135), Relative Entropy Rates (Page-149), Ergodic Theorems for Densities (Page-165), Channels and Codes (Page-181), Distortion (Page-217), Source Coding Theorems (Page-241), Coding for Noisy Channels (Page-277).</tableOfContents>
  <note type="statement of responsibility">Robert M. Gray.</note>
  <subject authority="lcsh">
    <topic>Coding theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Entropy (Information theory)</topic>
  </subject>
  <classification authority="ddc">576.73,GRA</classification>
  <identifier type="isbn">0387973710 (New York Berlin Heidelberg : alk. paper)</identifier>
  <identifier type="isbn">3540973710 (Berlin Heidelberg New York : alk. paper)</identifier>
  <identifier type="lccn">90211114</identifier>
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