Fr. 256.00

Discovering Wavelets

English · Hardback

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Zusatztext ...the student can quickly get to the applications with a reasonably complete understanding of how and why wavelets work in data processing. (Zentralblatt Math! Volume 940! No 15! 2000) Informationen zum Autor EDWARD ABOUFADEL, PhD, and STEVEN SCHLICKER, PhD, are Associate Professors of Mathematics at Grand Valley State University in Allendale, Michigan. Klappentext Dieses Buch führt Interessenten in die Theorie der Elementarwellen ein, ohne umfangreiche mathematische Vorkenntnisse (zum Beispiel auf dem Gebiet der Fourier-Analyse) vorauszusetzen; es werden lediglich Grundkenntnisse der linearen Algebra verlangt. Die Anwendungsgebiete von Elementarwellen reichen von der Bildverarbeitung und Seismologie bis zur Wiederherstellung von Aufzeichnungen. In diesem Band werden zahlreiche Beispiele aus der Realität abgehandelt, die Studenten und Industrieforscher gleichermaßen interessieren sollten. (11/99) Zusammenfassung 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. Inhaltsverzeichnis Wavelets, Fingerprints, and Image Processing. Wavelets and Orthogonal Decompositions. Multiresolutions, Cascades, and Filters. Sample Projects. Appendices. References. Index.

List of contents

Wavelets, Fingerprints, and Image Processing.
 
Wavelets and Orthogonal Decompositions.
 
Multiresolutions, Cascades, and Filters.
 
Sample Projects.
 
Appendices.
 
References.
 
Index.

Report

...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)

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