• DocumentCode
    3412221
  • Title

    Qualitative assessment of intrinsic mode functions of empirical mode decomposition

  • Author

    Chen, Mo ; Mandic, Danilo P. ; Kidmose, Preben ; Ungstrup, Michael

  • Author_Institution
    Dept. of Electr. Eng., Imperial Coll. London, London
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    1905
  • Lastpage
    1908
  • Abstract
    The ´empirical mode decomposition´ (EMD) method has been recently proposed to deal with nonlinear and non- stationary data, which decomposes signals into ´well-behaved´ intrinsic mode functions (IMFs). An assessment on the qualitative performance of the EMD method in terms of the degree of signal nature preservation of individual IMF is provided. This is archived by means of the recently proposed signal characterisation method, based upon examining the signal predicability in phase space. It is shown that the first IMF always performs best in terms of signal nature preserving. Simulation results on both linear and nonlinear benchmark signals support the analysis.
  • Keywords
    signal processing; EMD method; empirical mode decomposition; intrinsic mode function; qualitative assessment; signal characterisation method; signal nature preserving; Analytical models; Data analysis; Educational institutions; Fourier transforms; Frequency; Mathematical model; Signal analysis; Spectral analysis; Stochastic processes; Wavelet analysis; Empirical mode decomposition (EMD); delay vector variance (DVV); intrinsic mode function (IMF); non-stationary; nonlinear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518007
  • Filename
    4518007