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

$98.99       (Free Shipping)
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  • Category: Books (Technology & Engineering)
  • Author:  Justesen , J?rn, Forchhammer, S?ren
  • Author:  Justesen , J?rn, Forchhammer, S?ren
  • ISBN-10:  0521888603
  • ISBN-10:  0521888603
  • ISBN-13:  9780521888608
  • ISBN-13:  9780521888608
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  184
  • Pages:  184
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2009
  • Pub Date:  01-May-2009
  • SKU:  0521888603-11-MPOD
  • SKU:  0521888603-11-MPOD
  • Item ID: 106688844
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 10 to Oct 12
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
A complete introduction to the subject, providing the key techniques for modeling two-dimensional data and estimating their information content.This complete introduction to two-dimensional information theory and coding provides the key techniques for modeling data and estimating their information content. Special emphasis is placed on application to transmission, storage, compression, and error protection of graphic information. Numerous examples illustrate the theory throughout, whilst end-of-chapter exercises test the reader's understanding.This complete introduction to two-dimensional information theory and coding provides the key techniques for modeling data and estimating their information content. Special emphasis is placed on application to transmission, storage, compression, and error protection of graphic information. Numerous examples illustrate the theory throughout, whilst end-of-chapter exercises test the reader's understanding.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 readers understanding, making this an ideal book for glS–
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