• DocumentCode
    177513
  • Title

    On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach

  • Author

    Baptista de Souza, Douglas ; Chanussot, Jocelyn ; Favre, Anne-Catherine

  • Author_Institution
    GIPSA-Lab., Domaine Univ., St. Martin d´Hères, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    325
  • Lastpage
    329
  • Abstract
    Although the empirical mode decomposition is a powerful tool for analyzing complicated datasets, many irrelevant intrinsic mode functions may appear in the decomposition. In this paper, we develop an energy-based method to detect relevant intrinsic mode functions. The new method can be seen as a generalization of techniques that are based on correlation. An experimental study is carried out in different datasets for assessing the performance of the proposed technique.
  • Keywords
    signal classification; signal processing; complicated dataset analysis; correlation technique; empirical mode decomposition; energy based method; relevant intrinsic mode functions; Correlation; Empirical mode decomposition; Mutual information; Signal processing; Time series analysis; Time-frequency analysis; Wavelet transforms; correlation; empirical mode decomposition; energy; intrinsic mode function; mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853611
  • Filename
    6853611