DocumentCode
2260434
Title
Noise Removal of Raman Spectra Using Interval Thresholding Method
Author
Li, Gang
Author_Institution
Fac. of Mech. & Electron. Inf., China Univ. of Geosci., Wuhan, China
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
535
Lastpage
539
Abstract
Wavelet transform (WT) was applied to de-noise Raman spectra. A simulated noisy Raman spectrum and the experimental Raman spectrum of benzene were de-noised using the level thresholding method and the interval thresholding method. The de-noising performances of the two methods were compared. The results showed that the interval thresholding method is more satisfactory than the level thresholding method, because it can remove the noise more efficiently and preserve the shapes of Raman bands better.
Keywords
Raman spectroscopy; signal denoising; wavelet transforms; Raman spectra; interval thresholding method; level thresholding method; noise removal; wavelet transform; Frequency; Noise level; Noise reduction; Noise shaping; Raman scattering; Shape; Signal processing; Spectroscopy; Wavelet coefficients; Wavelet transforms; Raman spectrum; Wavelet transform; interval thresholding; noise removal;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.573
Filename
4739630
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