Title :
Alcohol detection in translucent package using wavelet filtration by Raman spectroscopy
Author :
Li, Xiaozhou ; Yu, Zhuang
Author_Institution :
Sch. of Sci., Shenyang Ligong Univ., Shenyang, China
Abstract :
In this paper, by using a custom noise reduction method process the Raman spectra of alcohol, compared to wavelet noise reduction method in MATLAB, the Raman spectra of alcohol that processed by former is better, due to the peaks of alcohol composition is clearer and easier to distinguish. In addition, this method can remove the fluorescent background and interference of scattering light, so as to providing great convenience for rapid and non-destructive testing on alcohol by using Raman spectra.
Keywords :
Raman spectra; fluorescence; mathematics computing; organic compounds; signal denoising; signal processing; wavelet transforms; MATLAB; Raman spectroscopy; alcohol composition; alcohol detection; custom noise reduction method; fluorescent background; nondestructive testing; rapid testing; scattering light interference; translucent package; wavelet filtration; wavelet noise reduction method; Ethanol; Fluorescence; Materials; Noise; Noise reduction; Raman scattering; Vibrations; Roman spectra; alcohol detection; custom noise reduction;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6130874
