Raman spectrum peak identification method for optimizing wavelet algorithm
A wavelet algorithm and Raman spectroscopy technology, applied in the field of analytical instruments, can solve the problems of low spectral peak recognition accuracy and peak position positioning accuracy, and achieve reduction of root mean square error, good noise reduction method, and suppression of false Gibbs The effect of the phenomenon
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[0037] Specific embodiments of the present invention are provided below, but the present invention is not limited to the examples provided.
[0038] In order to test the advantages and disadvantages of these various identification methods, the present invention uses simulated Raman spectra with different noise levels to verify their performance. The spectral peaks of the simulated Raman spectrum of the present invention are all simulated by Gaussian functions. The simulated Raman spectrum contains a total of six spectral peaks, including three isolated peaks and three overlapping peaks, and the spectral signal-to-base ratio is 1, such as figure 2 As shown, a certain amount of Gaussian noise has been added to the spectrum, and the peak parameters are shown in Table 1.
[0039] Table 1 Simulation Raman Spectroscopy Parameters
[0040] Peak position (cm -1 )
654 1090 1535 2130 2200 2270 Peak height 3 6 9 6 6 6 Width at half maximum 25 30 ...
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