| 书目名称 | Essential Wavelets for Statistical Applications and Data Analysis | | 编辑 | R. Todd Ogden | | 视频video | | | 概述 | Includes supplementary material: | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 1997 | | 关键词 | Estimator; Invariant; Regression; Signal; Wavelet; algorithm; calculus; data analysis; discrete Fourier tran | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-0709-2 | | isbn_softcover | 978-1-4612-6876-5 | | isbn_ebook | 978-1-4612-0709-2 | | copyright | Springer Science+Business Media New York 1997 |
The information of publication is updating
|
|
发表于 2025-3-21 18:42:12
