• DocumentCode
    2042699
  • Title

    Research of Signal Denoising Algorithm Based on Wavelet Threshold

  • Author

    Liu Wen-bo ; Jiang Li-bo ; Wang Meng-xiao

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To overcome the shortcomings of hard threshold method and soft threshold method of wavelet threshold based signal denoising, a new threshold function is presented in this paper. This function combines hard threshold function and soft threshold function, which has good mathematical properties and physical significance. It can be used in various cases of denoising by selecting suitable parameters. Simulation results and comparative studies show that this method is superior to the hard threshold method and soft threshold method, and it has obvious effect on signal denoising.
  • Keywords
    signal denoising; wavelet transforms; hard threshold method; signal denoising algorithm; soft threshold method; wavelet threshold; Discrete wavelet transforms; Educational institutions; Gaussian noise; Noise level; Noise reduction; Signal denoising; Signal processing; Wavelet coefficients; Wavelet domain; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073050
  • Filename
    5073050