• Chinese Journal of Quantum Electronics
  • Vol. 39, Issue 3, 307 (2022)
Zhitao ZHANG1、2、*, Fang DING1, Yu LUO1、2, Xiahua CHEN1、2, Dawei YE1、2, Zhenhua HU1, and Guangnan LUO1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1007461.2022.03.002 Cite this Article
    ZHANG Zhitao, DING Fang, LUO Yu, CHEN Xiahua, YE Dawei, HU Zhenhua, LUO Guangnan. Application of wavelet threshold denoising in processing of divertor spectral signal[J]. Chinese Journal of Quantum Electronics, 2022, 39(3): 307 Copy Citation Text show less
    References

    [1] Li J G. The status and progress of tokamak research[J]. Physics, 2016, 45(2): 88-97.

    [2] Liu F, Luo G N, Li Q, et al. Application of tungsten as a plasma-facing material in nuclear fusion reactors[J]. China Tungsten Industry, 2017, 32(2): 41-48.

    [3] Liu Q J, Lin Q Z, Wang Q J, et al. Continuum based fast Fourier transform processing of infrared spectrum[J]. Spectroscopy and Spectral Analysis, 2009, 29(12): 3279-3282.

    [6] Rui C Y, Huang L. Deformation measurement method based on optical inertial sensing[J]. Chinese Journal of Quantum Electronics, 2016, 33(3): 378-384.

    [7] Qin X, Shen L S. Wavelet transform and its application in spectral analysis[J]. Spectroscopy and Spectral Analysis, 2000, 20(6): 892-897.

    [9] Wang J G, Cheng M X, Lin J G, et al. Application of wavelet transform modulus maximum for Raman spectra de-noising[J]. Control and Instruments in Chemical Industry, 2010, 37(8): 37-41.

    [10] Liu Z A, Yang S Y, Wang L A. Denoising arithmetic based on max-modular of wavelet window[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2009, 29(1): 286-289.

    [11] Donoho D L. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1995, 41(3): 613-627.

    [12] Sun D N, Zhang L, Yan C W. Research of image noise reduction based on wavelet transform[J]. Computer Knowledge and Technology, 2010, 6(3): 691-692.

    [13] Li Z G, Zong S, Shi Y C. Application of wavelet threshold de-noising method in signal processing of deep small hole drilling acoustic emission[J]. Manufacturing Technology & Machine Tool, 2019, 9: 113-117.

    [14] Wu H, Lu Z X. Speech recognition based on combined enhancement of Symlets wavelet and subspace[J]. Computer Engineering and Applications, 2011, 47(5): 141-145.

    [15] Sun B, Zhou Y L, Guan Y B, et al. Confirmation of threshold rule in signal denosing of gas-liquid two-phase flow differential pressure fluctuation using wavelet transform[J]. Signal Processing, 2006, 22(1): 96-99.

    [16] Wu A Q, Shen C S, Xiao J B, et al. Wavelet denoising based on an asymptotic semisoft thresholding function[J]. Chinese Journal of Electron Devices, 2017, 40(2): 396-399.

    [17] Leonard A W. Edge-localized-modes in tokamaks[J]. Physics of Plasmas, 2014, 21(9): 090501.

    ZHANG Zhitao, DING Fang, LUO Yu, CHEN Xiahua, YE Dawei, HU Zhenhua, LUO Guangnan. Application of wavelet threshold denoising in processing of divertor spectral signal[J]. Chinese Journal of Quantum Electronics, 2022, 39(3): 307
    Download Citation