Spectral line shape identification with continuous wavelet transform

dc.contributor.author	Galimullin D.
dc.contributor.author	Sibgatullin M.
dc.contributor.author	Vorob'ev A.
dc.contributor.author	Kamalova D.
dc.contributor.author	Kharintsev S.
dc.contributor.author	Salakhov M.
dc.date.accessioned	2018-09-18T20:07:58Z
dc.date.available	2018-09-18T20:07:58Z
dc.date.issued	2006
dc.identifier.issn	0277-786X
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/136828
dc.description.abstract	A lot of methods that allow analyzing of complex contours are known. In the case of the analytical type of the peak is known the least squares method is usually used. Nevertheless, if the noise level is high enough, LSM method can't be used because of the large distortions of the results. In this paper alternative way based on a wavelet-derivative spectroscopy to analyze complex contours is suggested. The efficiency of the method is demonstrated using the model data and experimental IR spectrum of polyetherimide.
dc.relation.ispartofseries	Proceedings of SPIE - The International Society for Optical Engineering
dc.subject	Complex spectra
dc.subject	Continues wavelet transform
dc.subject	Decomposition
dc.subject	Derivative spectrometry
dc.subject	Resolution
dc.title	Spectral line shape identification with continuous wavelet transform
dc.type	Conference Paper
dc.relation.ispartofseries-volume	6181
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS0277786X-2006-6181-SID33645417571

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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.