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  <titleInfo>
    <title>Entropy and information theory</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gray, Robert M.</namePart>
    <namePart type="date">1943-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nyu</placeTerm>
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    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Springer</publisher>
    <dateIssued>c2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>xxvii, 409 p. : ill. ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction -- 1. Information sources -- 2. Pair processes : channels, codes and couplings -- 3. Entropy -- 4. The entropy ergodic theorem -- 5. Distortion and approximation -- 6. Distortion and entropy -- 7. Relative entropy -- 8. Information rates -- 9. Distortion and information -- 10. Relative entropy rates -- 11. Ergodic theorems for densities -- 12. Source coding theorems -- 13. Properties of good source codes -- 14. Coding for noisy channels.</tableOfContents>
  <note type="statement of responsibility">Robert M. Gray.</note>
  <note>Includes bibliographical references (p. 395-403) and index.</note>
  <subject authority="lcsh">
    <topic>Entropy (Information theory)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Coding theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Distribution (Probability theory)</topic>
  </subject>
  <classification authority="ddc" edition="22">003.54</classification>
  <identifier type="isbn">9781441979698 (hdbk. : acidfree paper)</identifier>
  <identifier type="isbn">1441979697 (hdbk. : acidfree paper)</identifier>
  <identifier type="lccn">2011920808</identifier>
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