• DocumentCode
    2121271
  • Title

    Wavelet Thresholding Method Using Higher-Order Statistics for Seismic Signal De-Noising

  • Author

    Li, Yuanyuan ; Yang, Yushan

  • Author_Institution
    Inst. of Geophys. & Geomatics, China Univ. of Geosci., Wuhan, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We applied a third-order correlation technique for identification of wavelet coefficients uncorrupted by noise by considering triple correlation coefficients of wavelet-signal correlations for thresholding. Various important theoretical results are stated and discussed for the wavelet modulus maxima method, VisuShrink method and HOS-based thresholding method. Then key properties of each method are studied and compared through both real and synthetic data examples. Finally, the current work is applied in a real seismic section in China. By comparing several wavelet-based denoising techniques theoretically and numerically through synthetic and real seismic data, one can choose the appropriate techniques for different situations.
  • Keywords
    higher order statistics; seismic waves; signal denoising; wavelet transforms; China; VisuShrink method; higher-order statistics; seismic data; seismic signal denoising; third-order correlation technique; wavelet coefficients identification; wavelet modulus maxima method; wavelet thresholding method; wavelet-signal correlations; Gaussian noise; Higher order statistics; Mean square error methods; Noise reduction; Signal denoising; Signal processing; Signal to noise ratio; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5302834
  • Filename
    5302834