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A New Peak Detection Algorithm of Raman Spectra
Jiang C. Z.; Sun Q.; Liu Y.; Liang J. Q.; An Y.; Liu B.
2014
发表期刊Spectroscopy and Spectral Analysis
ISSNISBN/1000-0593
卷号34期号:1页码:103-107
摘要The authors proposed a new Raman peak recognition method named hi-scale correlation algorithm. The algorithm uses the combination of the correlation coefficient and the local signal-to-noise ratio under two scales to achieve Raman peak identification. We compared the performance of the proposed algorithm with that of the traditional continuous wavelet transform method through MATLAB, and then tested the algorithm with real Raman spectra. The results show that the average time for identifying a Raman spectrum is 0. 51 s with the algorithm, while it is 0. 71 s with the continuous wavelet transform. When the signal-to-noise ratio of Raman peak is greater than or equal to 6(modern Raman spectrometers feature an excellent signal-to-noise ratio), the recognition accuracy with the algorithm is higher than 99%, while it is less than 84% with the continuous wavelet transform method. The mean and the standard deviations of the peak position identification error of the algorithm are both less than that of the continuous wavelet transform method. Simulation analysis and experimental verification prove that the new algorithm possesses the following advantages: no needs of human intervention, no needs of de-noising and background removal operation, higher recognition speed and higher recognition accuracy. The proposed algorithm is operable in Raman peak identification.
收录类别SCI
语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/43683
专题中科院长春光机所知识产出
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GB/T 7714
Jiang C. Z.,Sun Q.,Liu Y.,et al. A New Peak Detection Algorithm of Raman Spectra[J]. Spectroscopy and Spectral Analysis,2014,34(1):103-107.
APA Jiang C. Z.,Sun Q.,Liu Y.,Liang J. Q.,An Y.,&Liu B..(2014).A New Peak Detection Algorithm of Raman Spectra.Spectroscopy and Spectral Analysis,34(1),103-107.
MLA Jiang C. Z.,et al."A New Peak Detection Algorithm of Raman Spectra".Spectroscopy and Spectral Analysis 34.1(2014):103-107.
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