• DocumentCode
    468908
  • Title

    Research on de-noising of pulse signal based on fuzzy threshold in wavelet packet domain

  • Author

    Song, Su ; Qi, Yan-yan ; Jun-fei Qiao

  • Author_Institution
    Beijing Univ. of Technol., Beijing
  • Volume
    1
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    103
  • Lastpage
    106
  • Abstract
    As a premise of the research of pulse diagnoses objectivity, de-noising of the pulse signal is very important To avoid the signal distortion and missing of characteristics, this paper applies fuzzy theory to de-noising, which is based on wavelet packet threshold, and confirms the upper and lower limits of the threshold and then chooses a parabola function from zero to one as the membership function. Simulations show that, comparing with the method of heavy threshold this method makes the de-noised pulse signal be smoother and save more characteristics.
  • Keywords
    distortion; fuzzy set theory; signal denoising; wavelet transforms; fuzzy theory; fuzzy threshold; membership function; parabola function; pulse diagnosis objectivity; pulse signal denoising; signal distortion; wavelet packet threshold; Noise reduction; Notice of Violation; Pattern analysis; Pattern recognition; Wavelet analysis; Wavelet domain; Wavelet packets; de-noising; fuzzy threshold; pulse signal; wavelet packet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4420645
  • Filename
    4420645