Time series denoising with wavelet transform

Autor:	Bartosz Kozłowski
Jazyk:	angličtina
Rok vydání:	2005
Předmět:	wavelet transform WaveShrink filtration noise reduction Haar basic wavelet function Telecommunication TK5101-6720 Information technology T58.5-58.64
Zdroj:	Journal of Telecommunications and Information Technology, Iss 3 (2005)
Druh dokumentu:	article
ISSN:	1509-4553 1899-8852
DOI:	10.26636/jtit.2005.3.320
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5c1e878fba08497eb8002525b709409a Zobrazit plný text záznamu View record in DOAJ