Laser & Optoelectronics Progress, Volume. 58, Issue 7, 0730001(2021)
Denoising of Digital Filtering Based on Wavelength Modulation Spectroscopy
Fig. 3. Simulated NH3 spectral signal.(a)Original second harmonic (2f) signal;(b)Gaussian noise;(c)noised second harmonic signal
Fig. 4. SNR as a function of parameters in different methods. (a) SNR as a function of decomposition level in wavelet transform; (b) SNR as a function of threshold value in Gabor transform
Fig. 5. RMSE after denoising. (a) Wavelet transform denoising; (b) Gabor transform denoising
Fig. 6. Second harmonic (2f) signal after denoising. (a) Wavelet transformation denoising; (b) Gabor transformation denoising
Fig. 9. Second harmonic signals of different concentrations of NH3 after denoising. (a) Wavelet transform denoising;(b) Gabor transform denoising
Fig. 10. Linear relationship between peak height of second harmonic signal of different concentrations of NH3 and measured concentration. (a) Wavelet transform; (b) Gabor transform
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Lifang Zhang, Fei Wang, Hao Wei, Jing Wang, Haibin Cui, Guanjia Zhao. Denoising of Digital Filtering Based on Wavelength Modulation Spectroscopy[J]. Laser & Optoelectronics Progress, 2021, 58(7): 0730001
Category: Spectroscopy
Received: Oct. 9, 2020
Accepted: Nov. 18, 2020
Published Online: Apr. 25, 2021
The Author Email: Lifang Zhang (21227023@zju.edu.cn)