| 书目名称 | Wavelets, Approximation, and Statistical Applications | | 编辑 | Wolfgang Härdle,Gerard Kerkyacharian,Alexander Tsy | | 视频video | | | 丛书名称 | Lecture Notes in Statistics | | 图书封面 |  | | 描述 | The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. It was designed for ap proximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, image and signal process ing. Five years ago wavelet theory progressively appeared to be a power ful framework for nonparametric statistical problems. Efficient computa tional implementations are beginning to surface in this second lustrum of the nineties. This book brings together these three main streams of wavelet theory. It presents the theory, discusses approximations and gives a variety of statistical applications. It is the aim of this text to introduce the novice in this field into the various aspects of wavelets. Wavelets require a highly interactive computing interface. We present therefore all applications with software code from an interactive statistical computing environment. Readers interested in theory and construction of wavelets will find here in a condensed form results that are somewhat scattered around in the research literature. A practioner will be able to use wavelets via the available so | | 出版日期 | Book 1998 | | 关键词 | DEX; Invariant; Lemma; Oracle; Sequence space; Sobolev space; adaptation; availability; code; construction; fu | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-2222-4 | | isbn_softcover | 978-0-387-98453-7 | | isbn_ebook | 978-1-4612-2222-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 | | issn_series | 0930-0325 | | copyright | Springer-Verlag New York, Inc. 1998 |
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