Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1553(2022)
A Denoising Method Based on Back Propagation Neural Network for Raman Spectrum
Fig. 3. RMSE and SNR changes of different wavelets and different thresholds for 20 db noise
Fig. 4. RMSE and SNR changes of different wavelets and different thresholds for 30 db noise
Fig. 5. RMSE and SNR changes of different wavelet decomposition levels for different noise
Fig. 6. RMSE and SNR changes of different denoising methods for 20 db noise
Fig. 7. RMSE and SNR changes of different denoising methods for 30 db noise
Fig. 8. Raman Spectrum of experimental sample
(a): Noisy Raman spectrum; (b): Denoised spectrum by analyst; (c): Denoised spectrum by BP network
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Zhong WANG, Dong-dong WAN, Chuang SHAN, Yue-e LI, Qing-guo ZHOU. A Denoising Method Based on Back Propagation Neural Network for Raman Spectrum[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1553
Category: Research Articles
Received: Apr. 14, 2021
Accepted: --
Published Online: Nov. 10, 2022
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