
Wavelets and Operators: Volume 1
Yves Meyer(Author)
Cambridge University Press
Published on 22. April 1993
Book
Hardback
239 pages
978-0-521-42000-6 (ISBN)
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Description
Over the last two years, wavelet methods have shown themselves to be of considerable use to harmonic analysts and, in particular, advances have been made concerning their applications. The strength of wavelet methods lies in their ability to describe local phenomena more accurately than a traditional expansion in sines and cosines can. Thus, wavelets are ideal in many fields where an approach to transient behaviour is needed, for example, in considering acoustic or seismic signals, or in image processing. Yves Meyer stands the theory of wavelets firmly upon solid ground by basing his book on the fundamental work of Calderon, Zygmund and their collaborators. For anyone who would like an introduction to wavelets, this book will prove to be a necessary purchase.
Reviews / Votes
'I recommend this book to every mathematically minded reader ... it is beautifully written and the English translation is excellent.' Science '... an excellent introduction to wavelets by a leading researcher in this field. This lucid account of the theory behind wavelets is aimed at the postgraduate level.' Short Book ReviewsMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 236 mm
Width: 157 mm
Thickness: 20 mm
Weight
505 gr
ISBN-13
978-0-521-42000-6 (9780521420006)
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Schweitzer Classification
Other editions
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Book
01/1995
Cambridge University Press
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Additional editions

Book
01/1995
Cambridge University Press
€108.40
Shipment within 15-20 days
Persons
Author
Institut Universitaire de France, Paris
Translation
University of Leeds
Content
Introduction; 1. Fourier series and integrals, filtering and sampling; 2. Multiresolution approximation of L2(Rn); 3. Orthonormal wavelet bases; 4. Non-orthogonal wavelets; 5. Wavelets, the Hardy space H1, and its dual BMO; 6. Wavelets and spaces of functions and distributions; References.