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Two-Dimensional Information Theory and Coding : With Applications to Graphics Data and High-Density Storage Media

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Title: Two-Dimensional Information Theory and Coding : With Applications to Graphics Data and High-Density Storage Media
Description: This complete introduction to two-dimensional (2-D) information theory and coding provides the key techniques for modeling data and estimating their information content. Throughout, special emphasis is placed on applications to transmission, storage, compression, and error protection of graphic information. The book begins with a self-contained introduction to information theory, including concepts of entropy and channel capacity, which requires minimal mathematical background knowledge. It then introduces error-correcting codes, particularly Reed-Solomon codes, the basic methods for error-correction, and codes applicable to data organized in 2-D arrays. Common techniques for data compression, including compression of 2-D data based on application of the basic source coding, are also covered, together with an advanced chapter dedicated to 2-D constrained coding for storage applications. Numerous worked examples illustrate the theory, whilst end-of-chapter exercises test the reader's understanding, making this an ideal book for graduate students and also for practitioners in the telecommunications and data storage industries.
Authors: Jørn Justesen, Søren Forchhammer
Resource Type: eBook.
Subjects: Computer graphics--Mathematics, Information visualization, Binary system (Mathematics), Computer storage devices--Mathematical models, Coding theory, Information storage and retrieval systems--Mathematics, Bipartite graphs
Categories: COMPUTERS / Data Science / General
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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PubType: eBook
PubTypeId: ebook
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  Data: Two-Dimensional Information Theory and Coding : With Applications to Graphics Data and High-Density Storage Media
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  Data: This complete introduction to two-dimensional (2-D) information theory and coding provides the key techniques for modeling data and estimating their information content. Throughout, special emphasis is placed on applications to transmission, storage, compression, and error protection of graphic information. The book begins with a self-contained introduction to information theory, including concepts of entropy and channel capacity, which requires minimal mathematical background knowledge. It then introduces error-correcting codes, particularly Reed-Solomon codes, the basic methods for error-correction, and codes applicable to data organized in 2-D arrays. Common techniques for data compression, including compression of 2-D data based on application of the basic source coding, are also covered, together with an advanced chapter dedicated to 2-D constrained coding for storage applications. Numerous worked examples illustrate the theory, whilst end-of-chapter exercises test the reader's understanding, making this an ideal book for graduate students and also for practitioners in the telecommunications and data storage industries.
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  Data: <searchLink fieldCode="AR" term="%22Jørn+Justesen%22">Jørn Justesen</searchLink><br /><searchLink fieldCode="AR" term="%22Søren+Forchhammer%22">Søren Forchhammer</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Computer+graphics--Mathematics%22">Computer graphics--Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+visualization%22">Information visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Binary+system+%28Mathematics%29%22">Binary system (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+storage+devices--Mathematical+models%22">Computer storage devices--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Coding+theory%22">Coding theory</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+and+retrieval+systems--Mathematics%22">Information storage and retrieval systems--Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Bipartite+graphs%22">Bipartite graphs</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.72
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computer graphics--Mathematics
        Type: general
      – SubjectFull: Information visualization
        Type: general
      – SubjectFull: Binary system (Mathematics)
        Type: general
      – SubjectFull: Computer storage devices--Mathematical models
        Type: general
      – SubjectFull: Coding theory
        Type: general
      – SubjectFull: Information storage and retrieval systems--Mathematics
        Type: general
      – SubjectFull: Bipartite graphs
        Type: general
    Titles:
      – TitleFull: Two-Dimensional Information Theory and Coding : With Applications to Graphics Data and High-Density Storage Media
        Type: main
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          Name:
            NameFull: Jørn Justesen
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            NameFull: Søren Forchhammer
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            NameFull: Jørn Justesen
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            NameFull: Søren Forchhammer
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521888608
            – Type: isbn-electronic
              Value: 9780511641664
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            – TitleFull: Two-Dimensional Information Theory and Coding : With Applications to Graphics Data and High-Density Storage Media
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