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R. Todd Ogden — Essential Wavelets for Statistical Applications and Data Analysis
R. Todd Ogden — Essential Wavelets for Statistical Applications and Data Analysis



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Название: Essential Wavelets for Statistical Applications and Data Analysis

Автор: R. Todd Ogden

Аннотация:

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
subject 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
somehow cheapens or coarsens the subject.
I have to disagree that popularity goes hand-in-hand with debasement.
While there is certainly a beautiful theory underlying wavelet analysis, there is
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
formally stated in this book, with only one proof. And these are only included
to introduce some key concepts in a natural way.


Язык: en

Статус предметного указателя: Неизвестно

ed2k: ed2k stats

Год издания: 1997

Количество страниц: 216

Добавлена в каталог: 07.10.2022

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