• DocumentCode
    2667238
  • Title

    An improved wavelet threshold de-noising method and its application

  • Author

    Ce, Ji ; Xue-liang, Lu ; Bao-cheng, Tang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    950
  • Lastpage
    953
  • Abstract
    In order to improve effect of weak signal de-noising, an improved threshold de-noising function based on the characteristics of soft-threshold function and hard-threshold function which are used to estimate wavelet coefficients is proposed in this paper. This new function can obtain better threshold, which is between the hard threshold and soft threshold by adjusting the parameters. It not only overcomes the disadvantage of the segmentation of hard-threshold function effectively, but also solves the constant deviation and discontinuous derivative of soft-threshold function. The simulation results demonstrate the effectiveness of the algorithm.
  • Keywords
    signal denoising; wavelet transforms; hard-threshold function; improved wavelet threshold de-noising method; soft-threshold function; wavelet coefficients; weak signal de-noising; Educational institutions; Noise reduction; Signal to noise ratio; Wavelet coefficients; RMSE; SNR; de-noising; hard-threshold function; soft-threshold function; wavelet; weak signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244149
  • Filename
    6244149