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Oxford Mathematical Monographs: Wavelets

An Analysis Tool

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Wavelets analysis--a new and rapidly growing field of research--has been applied to a wide range of endeavors, from signal data analysis (geoprospection, speech recognition, and singularity detection) to data compression (image and voice-signals) to pure mathematics. Written in an accessible,user-friendly style, An Analysis Tool offers a self-contained, example-packed introduction to the subject. Taking into account the continuous transform as well as its discretized version (the ortho-normal basis) the book begins by introducing the continuous wavelets transform in onedimension. It goes on to provide detailed discussions of wavelet analysis of regular functions, tempered distributions, square integrable functions, and the continuous wavelet transform. Throughout, the language of group theory is used to unify various approaches. Profusely illustrated andcontaining information not available elsewhere, this book is ideal for advanced students and researchers in mathematics, physics, and signal processing engineering.

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Oxford Mathematical Monographs: Wavelets, Matthius Holschneider

Langue
Année de publication
1995
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Titre
Oxford Mathematical Monographs: Wavelets
Sous-titre
An Analysis Tool
Langue
Anglais
Publié
1995
Format
rigide
Pages
436
ISBN10
0198534817
ISBN13
9780198534815
Séries
Description
Wavelets analysis--a new and rapidly growing field of research--has been applied to a wide range of endeavors, from signal data analysis (geoprospection, speech recognition, and singularity detection) to data compression (image and voice-signals) to pure mathematics. Written in an accessible,user-friendly style, An Analysis Tool offers a self-contained, example-packed introduction to the subject. Taking into account the continuous transform as well as its discretized version (the ortho-normal basis) the book begins by introducing the continuous wavelets transform in onedimension. It goes on to provide detailed discussions of wavelet analysis of regular functions, tempered distributions, square integrable functions, and the continuous wavelet transform. Throughout, the language of group theory is used to unify various approaches. Profusely illustrated andcontaining information not available elsewhere, this book is ideal for advanced students and researchers in mathematics, physics, and signal processing engineering.