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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Essential Wavelets for Statistical Applications and Data Analysis

Essential Wavelets for Statistical Applications and Data Analysis

Ogden, Todd

Hardcover

Technology & EngineeringGeneral MathematicsProbability & Statistics

ISBN10: 0817638644
ISBN13: 9780817638641
Publisher: Springer Nature
Published: Dec 1 1996
Pages: 206
Weight: 0.97
Height: 0.60 Width: 6.37 Depth: 9.52
Language: English
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.

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