• DocumentCode
    1360115
  • Title

    Analysis of Intrinsic Mode Functions: A PDE Approach

  • Author

    Diop, El Hadji S ; Alexandre, R. ; Boudraa, A.O.

  • Author_Institution
    IRENav, BRCM Brest, Brest, France
  • Volume
    17
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    The empirical mode decomposition is a powerful tool for signal processing. Because of its original algorithmic, recent works have contributed to its theoretical framework. Following these works, some mathematical contributions on its comprehension and formalism are provided. In this paper, the so called local mean is computed in such a way that it allows the use of differential calculus on envelopes. This new formulation makes us prove that iterations of the sifting process are well approximated by the resolution of partial differential equations (PDE). Intrinsic mode functions are originally defined in a intuitive way. Herein, a mathematical characterization of modes is given with the proposed PDE-based approach.
  • Keywords
    partial differential equations; signal processing; PDE approach; empirical mode decomposition; intrinsic mode functions; partial differential equations; sifting process iterations; signal processing; theoretical framework; Empirical mode decomposition; intrinsic mode function; partial differential equations;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2038770
  • Filename
    5356172