Description

Book Synopsis
An accessible and practical introduction to wavelets With applications in image processing, audio restoration, seismology, and elsewhere, wavelets have been the subject of growing excitement and interest over the past several years. Unfortunately, most books on wavelets are accessible primarily to research mathematicians.

Trade Review
...this text has the advantage of being self contained: the conceptual prerequisites are kept to a minimum and the student can quickly get to the applications with a reasonably complete understanding of how and why wavelets work in data processing. As such, this text should appeal to instructors and students who are interested in learning about how wavelets work without being required to learn the whole mathematical backdrop in which wavelet theory is developed. (Zentralblatt Math, Volume 940, No 15, 2000)

Table of Contents
Wavelets, Fingerprints, and Image Processing.

Wavelets and Orthogonal Decompositions.

Multiresolutions, Cascades, and Filters.

Sample Projects.

Appendices.

References.

Index.

Discovering Wavelets

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    A Hardback by Edward Aboufadel, Steven Schlicker

    £143.95

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    RRP £159.95 – you save £16.00 (10%)

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      Book details

      Publisher John Wiley & Sons Inc
      Published 3 November 1999
      ISBN-13 9780471331933
      978-0471331933
      ISBN-10 0471331937
      Also in:
      Mathematics Algebra Applied mathematics

      Description

      Book Synopsis
      An accessible and practical introduction to wavelets With applications in image processing, audio restoration, seismology, and elsewhere, wavelets have been the subject of growing excitement and interest over the past several years. Unfortunately, most books on wavelets are accessible primarily to research mathematicians.

      Trade Review
      ...this text has the advantage of being self contained: the conceptual prerequisites are kept to a minimum and the student can quickly get to the applications with a reasonably complete understanding of how and why wavelets work in data processing. As such, this text should appeal to instructors and students who are interested in learning about how wavelets work without being required to learn the whole mathematical backdrop in which wavelet theory is developed. (Zentralblatt Math, Volume 940, No 15, 2000)

      Table of Contents
      Wavelets, Fingerprints, and Image Processing.

      Wavelets and Orthogonal Decompositions.

      Multiresolutions, Cascades, and Filters.

      Sample Projects.

      Appendices.

      References.

      Index.

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