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

CAD$117.95 (P)

  • Date Published: November 2009
  • availability: In stock
  • format: Hardback
  • isbn: 9780521888608

CAD$ 117.95 (P)

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About the Authors
  • 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.

    • Begins with a self-contained introduction to information theory which requires minimal mathematical background knowledge
    • Provides the key techniques for modeling data and estimating their information content
    • Includes numerous worked examples to illustrate the theory and end-of-chapter exercises to test understanding
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    Product details

    • Date Published: November 2009
    • format: Hardback
    • isbn: 9780521888608
    • length: 184 pages
    • dimensions: 254 x 158 x 14 mm
    • weight: 0.52kg
    • contains: 2 b/w illus. 11 tables 51 exercises
    • availability: In stock
  • Table of Contents

    1. Introduction to information theory
    2. Finite state sources
    3. Channels and linear codes
    4. Reed-Solomon codes and their decoding
    5. Source coding
    6. Information in two-dimensional media
    7. Constrained two-dimensional fields for storage
    8. Reed-Solomon codes in applications
    Appendix A: Fast arithmetic coding
    Appendix B: Maximizing entropy
    Appendix C: Decoding of RS code in F(16)

  • Instructors have used or reviewed this title for the following courses

    • Merging Data With Models
    • Network Information Theory
  • Authors

    Jørn Justesen , Technical University of Denmark, Lyngby
    Jørn Justesen is a Professor in the Department of Photonics Engineering at the Technical University of Denmark (DTU); a position he has held since 1976. He has previously held visiting positions at the Institute for Information Transmission Problems, Moscow, and the University of Maryland, College Park.

    Søren Forchhammer, Technical University of Denmark, Lyngby
    Søren Forchhammer is an Associate Professor in the Department of Photonics Engineering at DTU. He has previously held visiting positions at IBM Almaden Research Center, California, and McMaster University, Ontario.

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