Chinese Optics, Volume. 18, Issue 4, 794(2025)
A spectrum signal pre-processing algorithm based on multi-scale wavelet transform
Fig. 5. Comparison between spectral signal and wavelet signal. (a) Single spectrum peak; (b) mult-spectrum peaks
Fig. 6. Comparison of denoising effects of simulated spectral signals
Fig. 7. Contrast map of simulated de-noising spectral signal. (a) Initial signal; (b) signal with noise; (c) hard thresholding denoising; (d) soft thresholding denoising; (e) Savitzky-Golay denoising; (f) DTD denoising
Fig. 8. Map of spectral signal with baseline. (a) Initial signal; (b) signal with linear baseline; (c) signal with Gaussian baseline; (d) signal with polynomial baseline; (e) signal with exponential baseline; (f) signal with sigmoidal baseline
Fig. 12. Comparison of denoising results for measured data. (a) Initial signal; (b) hard thresholding denoising; (c) soft thresholding denoising; (d) Savitzky-Golay denoising; (e) DTD denoising
Fig. 13. Measured spectral signal. (a) Initial signal; (b) corrected signal by WFPSI algorithm
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Fang QIAN, Yong-bo XU, Wei ZHAO. A spectrum signal pre-processing algorithm based on multi-scale wavelet transform[J]. Chinese Optics, 2025, 18(4): 794
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Received: Dec. 26, 2024
Accepted: Mar. 28, 2025
Published Online: Aug. 13, 2025
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