Essential Wavelets for Statistical Applications and Data Analysis [electronic resource] /

I once heard the book by Meyer (1993) described as a "vulgarization" of wavelets. While this is true in one sense of the word, that of making a sub­ ject popular (Meyer's book is one of the early works written with the non­ specialist in mind), the implication seems to be that such an attempt some­ how cheapens or coarsens the subject. I have to disagree that popularity goes hand-in-hand with debasement. is certainly a beautiful theory underlying wavelet analysis, there is While there plenty of beauty left over for the applications of wavelet methods. This book is also written for the non-specialist, and therefore its main thrust is toward wavelet applications. Enough theory is given to help the reader gain a basic understanding of how wavelets work in practice, but much of the theory can be presented using only a basic level of mathematics. Only one theorem is for­ mally stated in this book, with only one proof. And these are only included to introduce some key concepts in a natural way.

Bibliographic Details

Main Authors:	Ogden, R. Todd. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 1997
Subjects:	Engineering., Approximation theory., Applied mathematics., Engineering mathematics., Appl.Mathematics/Computational Methods of Engineering., Signal, Image and Speech Processing., Approximations and Expansions., Applications of Mathematics.,
Online Access:	http://dx.doi.org/10.1007/978-1-4612-0709-2
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