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2000 | OriginalPaper | Chapter

Wavelets

Authors : Yuri Golubev, Wolfgang Härdle, Zdeněk Hlávka, Sigbert Klinke, Michael H. Neumann, Stefan Sperlich

Published in: XploRe — Learning Guide

Publisher: Springer Berlin Heidelberg

Included in: Professional Book Archive

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Wavelets are a powerful statistical tool which can be used for a wide range of applications, namely describing a signal, nonparametic estimationparsimonious (approximate) representation, data compressionsmoothing and image denoisingjump detection and test procedures. One of the main advantages of wavelets is that they offer a simultaneous localization in time and frequency domain. The second main advantage of wavelets is that, using fast wavelet transform, it is computationally very fast.

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Metadata
Title
Wavelets
Authors
Yuri Golubev
Wolfgang Härdle
Zdeněk Hlávka
Sigbert Klinke
Michael H. Neumann
Stefan Sperlich
Copyright Year
2000
Publisher
Springer Berlin Heidelberg
Book
XploRe — Learning Guide

Print ISBN: 978-3-540-66207-5

Electronic ISBN: 978-3-642-60232-0

Copyright Year: 2000

DOI
https://doi.org/10.1007/978-3-642-60232-0_14

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