A wavelet-based technique for eliminating noise from optical spectra

dc.contributor.author	Sibgatullin M.
dc.contributor.author	Kharintsev S.
dc.contributor.author	Il'in G.
dc.contributor.author	Salakhov M.
dc.date.accessioned	2018-09-17T20:59:47Z
dc.date.available	2018-09-17T20:59:47Z
dc.date.issued	2005
dc.identifier.issn	0971-9237
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/134367
dc.description.abstract	In the paper we deal with the removal of noise from an optical spectral line of Cu I (330.79 nm: 4P12F0 - 4d14G). For this purpose we use wavelet denoising algorithm along with the minimal energy criterion that allows one to effectively divide the signal into "useful" and parasite components. This approach is tested on an example of reconstruction of a Lorenzian profile blurred by a random fractal noise.
dc.relation.ispartofseries	Asian Journal of Spectroscopy
dc.subject	Denoising
dc.subject	Optical spectra
dc.subject	Wavelet-based technique
dc.title	A wavelet-based technique for eliminating noise from optical spectra
dc.type	Article
dc.relation.ispartofseries-issue	1-4
dc.relation.ispartofseries-volume	9
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	43
dc.source.id	SCOPUS09719237-2005-9-14-SID33645955561

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.