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dc.contributor.authorDinç, Erdal
dc.date.accessioned2020-11-20T08:09:15Z
dc.date.available2020-11-20T08:09:15Z
dc.date.issued2018
dc.identifier.urihttps://doi.org/10.3389/fchem.2018.00503tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/72493
dc.description.abstractIn research and development laboratories, chemical or pharmaceutical analysis has been carried out by evaluating sample signals obtained from instruments. However, the qualitative and quantitative determination based on raw signals may not be always possible due to sample complexity. In such cases, there is a need for powerful signal processing methodologies that can effectively process raw signals to get correct results. Wavelet transform is one of the most indispensable and popular signal processing methods currently used for noise removal, background correction, differentiation, data smoothing and filtering, data compression and separation of overlapping signals etc. This review article describes the theoretical aspects of wavelet transform (i.e., discrete, continuous and fractional) and its characteristic applications in UV spectroscopic analysis of pharmaceuticals.tr_TR
dc.language.isoentr_TR
dc.relation.isversionof10.3389/fchem.2018.00503tr_TR
dc.subjectUV spectroscopytr_TR
dc.subjectcontinuous wavelet transformtr_TR
dc.subjectdiscrete wavelet transformtr_TR
dc.titleWavelet Transform-Based UV Spectroscopy for Pharmaceutical Analysistr_TR
dc.typeArticletr_TR
dc.relation.journalFront Chem .tr_TR
dc.contributor.departmentEczacılık Fakültesitr_TR
dc.identifier.volume6tr_TR
dc.identifier.issue503tr_TR
dc.identifier.startpage1tr_TR
dc.identifier.endpage12tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR


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