ENGLISH

Wavelets: approximation and statistical applications

By Wolfgang Härdle , Gerard Kerkyacharian , Dominique Picard , Alexander Tsybakov

Book information

Publisher
Springer
Year
2000
ISBN
9780387984537, 0387984534
LCC
QA403.3 .W363 1998
Open Library ID
OL700556M
Language
english
Format
PDF
Filesize
2 MB (1625541 bytes)
Series
Lecture Notes in Statistics
Edition
1
Pages
265\266
Library
Kolxo3
Time added
2009-07-20 03:45:11
Приборостроение;Обработка сигналов;Вейвлет-анализ

Description

FROM THE PUBLISHERThe 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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