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Noise reduction in Raman spectra: Finite impulse response filtration versus Savitzky–Golay smoothing
Author(s) -
Člupek Martin,
Matějka Pavel,
Volka Karel
Publication year - 2007
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.1747
Subject(s) - finite impulse response , binary golay code , smoothing , raman spectroscopy , spectral line , noise reduction , acoustics , filtration (mathematics) , noise (video) , impulse (physics) , parametric statistics , analytical chemistry (journal) , reduction (mathematics) , mathematics , physics , materials science , chemistry , algorithm , computer science , optics , statistics , chromatography , artificial intelligence , astronomy , geometry , quantum mechanics , image (mathematics)
Application of the finite impulse response (FIR) filtration technique for the removal of spectral noise and background broadband deformations from the Raman spectra is tested. Optimal parameters of FIR filters are found and their effectiveness is compared with the Savitzky–Golay (SG) smoothing procedure. The FIR filtration is found to be an effective procedure to treat the whole Raman spectra, but high computing power is needed. Copyright © 2007 John Wiley & Sons, Ltd.