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 Calderón, Zygmund and their collaborators. For anyone who would like an introduction to wavelets, this book will prove to be a necessary purchase.
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Editorial Reviews
Review
'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 Reviews
'... 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 Reviews
Language Notes
Text: English (translation)
Original Language: French --This text refers to an out of print or unavailable edition of this title.
Original Language: French --This text refers to an out of print or unavailable edition of this title.
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Inside This Book
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First Sentence:
Wavelet series provide a simpler and more efficient way to analyse those functions and distributions that have hitherto been studied by means of Fourier series and integrals. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Heisenberg's Uncertainty Principle New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Wavelet series provide a simpler and more efficient way to analyse those functions and distributions that have hitherto been studied by means of Fourier series and integrals. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Heisenberg's Uncertainty Principle New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 3
books:
3
books
cite this book:
- Harmonic Analysis by Elias M. Stein on 4 pages
- Beijing Lectures in Harmonic Analysis. (AM-112) (Annals of Mathematics Studies) by Elias M. Stein in Back Matter (1), and Back Matter (2)
- Harmonic Analysis by Henry Helson in Back Matter
- The World According to Wavelets: The Story of a Mathematical Technique in the Making, Second Edition by Barbara Burke Hubbard in Back Matter
- Compression Algorithms for Real Programmers (The For Real Programmers Series) by Peter Wayner in Back Matter
- Wavelets: Calderón-Zygmund and Multilinear Operators (Cambridge Studies in Advanced Mathematics) by Yves Meyer in Front Matter
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