Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1830003(2022)
Noise Reduction of Wavelength-Modulated Signal Based on Wavelet and Empirical Mode Decomposition
Fig. 1. Various signals. (a) Gaussian white noise; (b) ideal second harmonic signal; (c) second harmonic signal after adding Gaussian white noise
Fig. 2. Variation of SNR of different wavelet systems with number of decomposition layers
Fig. 3. Results of the second harmonic signal with Gaussian white noise denoised by different methods. (a) Wavelet transform; (b) EMD; (c) wavelet transform combined with EMD
Fig. 4. Second harmonics with optical fringes
Fig. 5. Results of the second harmonic signal with optical fringes denoised by different methods. (a) Wavelet transform; (b) EMD; (c) wavelet transform combined with EMD
Fig. 6. Measured the second harmonic signal experimentally
Fig. 7. Results of the second harmonic signal denoised by different methods. (a) Wavelet transform; (b) EMD; (c) wavelet transform combined with EMD
Fig. 8. Fitting between biggest peak height of the second harmonic signal and mass concentration of NH3. (a) Wavelet transform; (b) EMD; (c) wavelet transform combined with EMD
|
Get Citation
Copy Citation Text
Jing Wang, Lifang Zhang, Jusheng Yang, Yanxia Yang, Guanjia Zhao. Noise Reduction of Wavelength-Modulated Signal Based on Wavelet and Empirical Mode Decomposition[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1830003
Category: Spectroscopy
Received: Jul. 2, 2021
Accepted: Jul. 27, 2021
Published Online: Aug. 29, 2022
The Author Email: Zhang Lifang (zhanglifang@tyut.edu.cn)