Wavelets, approximation, and statistical applications - Info and Reading Options
By Wolfgang Hardle
"Wavelets, approximation, and statistical applications" was published by Springer in 1998 - New York, it has 265 pages and the language of the book is English.
“Wavelets, approximation, and statistical applications” Metadata:
- Title: ➤ Wavelets, approximation, and statistical applications
- Author: Wolfgang Hardle
- Language: English
- Number of Pages: 265
- Publisher: Springer
- Publish Date: 1998
- Publish Location: New York
“Wavelets, approximation, and statistical applications” Subjects and Themes:
- Subjects: ➤ Approximation, Théorie de l' - Wavelets (Mathematics) - Ondelettes - Schattingstheorie - Benaderingen (wiskunde) - Approximation theory - Approximationstheorie - Wavelets - Approximation - Nichtparametrische Statistik - Statistique non paramétrique - Nonparametric statistics - Non-parametrische statistiek - Wavelet - Multivariate analysis
Edition Specifications:
- Pagination: xviii, 265 p. :
Edition Identifiers:
- The Open Library ID: OL700556M - OL19154958W
- Online Computer Library Center (OCLC) ID: 38073339
- Library of Congress Control Number (LCCN): 97048855
- ISBN-10: 0387984534
- All ISBNs: 0387984534
AI-generated Review of “Wavelets, approximation, and statistical applications”:
"Wavelets, approximation, and statistical applications" Description:
The Open Library:
The mathematical theory of wavelets was developed by Yves Meyer and many collaborators about ten years ago. It was designed for approximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, and image and signal processing. Five years ago wavelet theory progressively appeared to be a powerful framework for nonparametric statistical problems. Efficient computation implementations are beginning to surface in the nineties. This book brings together these three streams of wavelet theory and introduces the novice in this field to these aspects. Readers interested in the theory and construction of wavelets will find in a condensed form results that are scattered in the research literature. A practitioner will be able to use wavelets via the available software code.
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