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  Sparse and Redundant Representations (Hardback) By (author) Michael Elad

  

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  Short Description for Sparse and Redundant RepresentationsThis book introduces sparse and redundant representations with a focus on applications in signal and image processing. It details mathematical modeling for signal sources along with how to use the model for tasks such as denoising, restoration and separation.
  Full description

  • Publisher: Springer-Verlag New York Inc.
  • Published: 02 October 2010
  • Format: Hardback 396 pages
  • See: Full bibliographic data
  • Categories: Calculus & Mathematical Analysis | Differential Calculus & Equations | Optimization | Linear Programming | Applied Mathematics | Mathematical Modelling | Graphical & Digital Media Applications | Signal Processing
  • ISBN 13: 9781441970107 ISBN 10: 144197010X
  • Sales rank: 381,001

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Full description for Sparse and Redundant Representations

• This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging. "Sparse and Redundant Representations" is intended for graduate students in applied mathematics and electrical engineering, as well as applied mathematicians, engineers, and researchers who are active in the fields of signal and image processing.