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Kozłowski, Bartosz
2005, nr 3
artykuł
This paper concerns the possibilities of applying wavelet analysis to discovering and reducing distortions occurring in time series.Wavelet analysis basics are briefly reviewed. WaveShrink method including three most common shrinking variants (hard, soft, and non-negative garrote shrinkage functions) is described. Another wavelet-based filtering method, with parameters depending on the length of wavelets, is introduced. Sample results of filtering follow the descriptions of both methods. Additionally the results of the use of both filtering methods are compared. Examples in this paper deal only with the simplest “mother” wavelet function – Haar basic wavelet function.
Instytut Łączności - Państwowy Instytut Badawczy, Warszawa
application/pdf
oai:bc.itl.waw.pl:417
10.26636/jtit.2005.3.320
1509-4553
1899-8852
Journal of Telecommunications and Information Technology
ang
Biblioteka Naukowa Instytutu Łączności
12 cze 2024
2 mar 2010
682
https://bc.itl.waw.pl/publication/471
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