• DocumentCode
    3457819
  • Title

    Multi-Scale and Multi-Threshold Denoising Algorithm Based on the Best Wavelet Packet Basis

  • Author

    Huang, Yongdong ; Ye, Chongyuan

  • Author_Institution
    Inst. of Inf. & Syst. Sci., North Univ. for Nat., Yinchuan, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A multi-scale and multi-threshold denoising method based on the best wavelet packet basis and a new threshold function are put forward, which is based on the wavelet packet transform and the traditional threshold denoising method .Some faults of orthogonal wavelet transform can be overcome via using wavelet packet transform. The simulation experiments for Droppler signals show that the new threshold function can suppress the white noise effectively, it is better than the classical hard, soft and a improved threshold function referred to [6] denoising methods in the visual effect and SNR and MSE. Thus, it has high practical value in signal denoising.
  • Keywords
    signal denoising; wavelet transforms; white noise; Droppler signal; MSE; SNR; multithreshold denoising algorithm; orthogonal wavelet transform; signal denoising; threshold denoising method; threshold function; visual effect; wavelet packet transform; white noise suppression; Electronic mail; MATLAB; Noise reduction; Signal to noise ratio; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659236
  • Filename
    5659236