• DocumentCode
    2547147
  • Title

    Wavelet threshold methods used in lightning transient electrical signals denoising

  • Author

    Li Peng ; Zheng Yi ; Han Chao ; Song Li-jun ; Cao Bao-Feng

  • Author_Institution
    State key Lab. of NBC protection for Civilian, Res. Inst. of Chem. Defense, Beijing, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    2027
  • Lastpage
    2029
  • Abstract
    The Birge-Massart threshold wavelet methods were used to denoise lightning transient electrical signals, compared with the traditional de-noising methods such as Smoothing filter and FIR digital low-pass filter. The Means square error (MSE) and Magnitude error (ME) of simulation signals were calculated to compare the de-noising effect. The double exponential-decay pulse signals and Gaussian white-noise were composed as the simulating signals. The measured signals were also used to de-nosing with traditional and wavelet threshold methods. The results of simulation data and measured ones proved that the Birge-Massart threshold wavelet method was better than the traditional ones.
  • Keywords
    Gaussian noise; electromagnetic pulse; mean square error methods; signal denoising; transient analysis; wavelet transforms; white noise; Birge-Massart threshold wavelet method; Gaussian white noise; ME; MSE; exponential decay pulse signal; lightning transient electrical signal denoising; magnitude error; mean square error method; Finite impulse response filter; Lightning; Low pass filters; Noise reduction; Transient analysis; Wavelet transforms; Birge-Massart threshold; Wavelet transform; lightning transient electrical signals; signal denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234045
  • Filename
    6234045