High Power Laser Science and Engineering, Volume. 9, Issue 2, 02000e15(2021)
Smooth pulse recovery based on hybrid wavelet threshold denoising and first derivative adaptive smoothing filter
Fig. 4. Time domain waveform of the simulation processed by the denoising algorithm: (a) CAA; (b) OMP.
Fig. 5. The time domain waveform of the simulation and its corresponding ribbon graph with TSF: (a), (c) the time domain waveform and its corresponding ribbon graph using CAA and traditional filtering; (b), (d) the time domain waveform and its corresponding ribbon graph using OMP and traditional filtering.
Fig. 6. The denoising results with WTD under different decomposition levels.
Fig. 7. The time domain waveform of the simulation and its corresponding ribbon graph with the new hybrid shaping scheme: (a) the time domain waveform using WTD; (b) the time domain waveform using FDASF after WTD; (c) ribbon graph using FDASF after WTD.
Fig. 8. The time domain waveform of the experiment and its corresponding ribbon graph obtained by the new hybrid shaping scheme: (a) original waveform of the experiment; (b) the time domain waveform using WTD; (c) the time domain waveform using FDASF after WTD; (d) ribbon graph using FDASF after WTD.
Fig. 9. The high-contrast time domain waveform of the experiment and its corresponding ribbon graph obtained by the new hybrid shaping scheme: (a) original waveform of the experiment; (b) the time domain waveform using WTD; (c) the time domain waveform using FDASF after WTD; (d) ribbon graph using FDASF after WTD.
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Xinlei Qian, Wei Fan, Xinghua Lu, Xiaochao Wang. Smooth pulse recovery based on hybrid wavelet threshold denoising and first derivative adaptive smoothing filter[J]. High Power Laser Science and Engineering, 2021, 9(2): 02000e15
Category: Research Articles
Received: Aug. 25, 2020
Accepted: Jan. 13, 2021
Published Online: Apr. 28, 2021
The Author Email: Wei Fan (fanweil@siom.ac.cn)