• DocumentCode
    2153262
  • Title

    Parasitic descrease wavelet transform and its application on denoising

  • Author

    Zhang, Zhong ; Saiki, Noriho ; Toda, Hiroshi ; Imamura, Takashi ; Miyake, Tetsuo

  • Author_Institution
    Dept. of Mech. Eng., Toyohashi Univ. of Technol., Toyohashi, Japan
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    It is well known that parasitic discrete wavelet transform (PDWT) proposed by authors is a useful tool for abnormal signal detection, although it uses only for the signal decomposition and detection In this study, a reconstruction possible new parasitic discrete wavelet transform (N-PDWT) has been proposed for traditional PDWT. The N-PDWT is different from the PDWT and the traditional DWT that it enabled the detailed decomposition corresponding to the purpose signal. In addition, the N-PDWT has been applied to the Korona noise removal form the ion current waveform of the engine and confirmed that the N-PDWT has better performance than that of conventional impulse noise removal technique used the CDWT.
  • Keywords
    discrete wavelet transforms; signal denoising; signal detection; Korona noise removal; PDWT; abnormal signal detection; discrete wavelet transform; ion current waveform; parasitic descrease wavelet transform; signal denoising; Continuous wavelet transforms; Discrete wavelet transforms; Noise reduction; Denoising; Discrete wavelet transform; Signal processing; time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6530-9
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2010.5576386
  • Filename
    5576386