• DocumentCode
    1671455
  • Title

    A New Method for Processing End Effect In Empirical Mode Decomposition

  • Author

    Zhidong, Zhao ; Yang, Wang

  • Author_Institution
    Hangzhou Dianzi Univ., Hangzhou
  • fYear
    2007
  • Firstpage
    841
  • Lastpage
    845
  • Abstract
    Empirical Mode Decomposition is the key part of Hilbert Huang Transform which is a powerful method for the analysis of nonlinear and non-stationary signals. The method is very sensitive to end conditions. In this paper, we propose a new method to restrict the end effect. The steps of the method are introduced in detail. Performances of the proposed method are compared with other method using simulated signals. The results show that the new method can better restrict the end effect and also improve the precision of Empirical Mode Decomposition and Hilbert spectrum.
  • Keywords
    Hilbert transforms; signal processing; Hilbert Huang transform; empirical mode decomposition; end effect processing; nonstationary signal analysis; Data analysis; Fourier transforms; Frequency; Power engineering and energy; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Testing; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
  • Conference_Location
    Kokura
  • Print_ISBN
    978-1-4244-1473-4
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2007.4348181
  • Filename
    4348181