• High Power Laser Science and Engineering
  • Vol. 9, Issue 2, 02000e15 (2021)
Xinlei Qian1、2, Wei Fan1、2、*, Xinghua Lu1, and Xiaochao Wang1
Author Affiliations
  • 1National Laboratory on High Power Laser and Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai201800, China
  • 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing100049, China
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    DOI: 10.1017/hpl.2021.2 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Schematic of the time pulse shaping unit.
    Fig. 1. Schematic of the time pulse shaping unit.
    Schematic of the closed-loop control.
    Fig. 2. Schematic of the closed-loop control.
    Original waveform of the simulation.
    Fig. 3. Original waveform of the simulation.
    Time domain waveform of the simulation processed by the denoising algorithm: (a) CAA; (b) OMP.
    Fig. 4. Time domain waveform of the simulation processed by the denoising algorithm: (a) CAA; (b) OMP.
    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. 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.
    The denoising results with WTD under different decomposition levels.
    Fig. 6. The denoising results with WTD under different decomposition levels.
    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. 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.
    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. 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.
    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.
    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.
    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
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