Acta Optica Sinica, Volume. 42, Issue 2, 0210001(2022)
Variational Mode Decomposition and Wavelet Threshold Function De-Noising for Second Harmonics
Fig. 1. Second harmonic signals. (a) Original second harmonic spectrum; (b) Fourier transform frequency distribution of original second harmonic curve; (c) second harmonic spectrum with noise; (d) Fourier transform frequency distribution of noisy second harmonic curve
Fig. 2. Relationship between balance parameter and SNR of the first mode component of the second harmonic signal with different noise intensity. (a) SNR of noise signal is -7.6300 dB; (b) SNR of noise signal is -4.7368 dB; (c) SNR of noise signal is -2.7133 dB; (d) SNR of noise signal is -0.3417 dB; (e) SNR of noise signal is 2.6703 dB; (f) SNR of noise signal is 4.7096 dB; (g) SNR of noise signal is 7.1441 dB; (h) SNR of noise signal is 10.1235 dB
Fig. 3. Intrinsic mode components of noisy signals and their corresponding spectra. (a) IMF1; (b) IMF2; (c) IMF3; (d) IMF4; (e) frequency distribution of IMF1; (f) frequency distribution of IMF2; (g) frequency distribution of IMF3; (h) frequency distribution of IMF4
Fig. 5. Denoising effects of different algorithms. (a) EMD-WTFD; (b) EEMD-WTFD; (c) CEEMDAN-WTFD; (d) WTFD
Fig. 6. Relationship between second harmonic amplitude and CO concentration before denoising
Fig. 7. Relationship between second harmonic amplitude and CO concentration after denoising
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Ruilin Zhang, Xinghua Tu. Variational Mode Decomposition and Wavelet Threshold Function De-Noising for Second Harmonics[J]. Acta Optica Sinica, 2022, 42(2): 0210001
Category: Image Processing
Received: May. 27, 2021
Accepted: Aug. 9, 2021
Published Online: Dec. 29, 2021
The Author Email: Tu Xinghua (tuxh@njupt.edu.cn)