• DocumentCode
    461552
  • Title

    Signal denoising via median filter & wavelet shrinkage based on heavy-tailed modeling

  • Author

    Wei, Guang-Fen ; Jian, Tao ; Qiu, Rong-jian

  • Author_Institution
    Dept. of Electron. Eng., Shandong Inst. of Bus. & Technol.
  • Volume
    1
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    Heavy-tailed noise has more outliers than Gaussian noise, and traditional wavelet threshold cannot suppress outliers. A new method combining wavelet threshold and median filter is proposed. After suppressing the outliers in signal through median filter, the wavelet threshold is applied and remained noise is removed further. The experimental error analysis shows that the new method can suppress heavy-tailed noise effectively, and it is more robust than classic wavelet threshold
  • Keywords
    Gaussian noise; median filters; signal denoising; wavelet transforms; Gaussian noise; heavy-tailed modeling; median filter; signal denoising; wavelet shrinkage; Data mining; Error analysis; Filters; Gaussian distribution; Gaussian noise; Noise reduction; Noise robustness; Signal denoising; Wavelet analysis; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.344443
  • Filename
    4128779