• DocumentCode
    463981
  • Title

    Rotation Invariant Complex Empirical Mode Decomposition

  • Author

    Bin Altaf, M. Umair ; Gautama, T. ; Tanaka, T. ; Mandic, Danilo P.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
  • Volume
    3
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    A new method to extend the empirical mode decomposition (EMD) into the complex domain is proposed. Unlike the existing method for EMD in the complex domain, this is achieved in a generic way so that the mathematical development of this method mirrors the algorithm defined for EMD in the real domain. The so derived intrinsic mode functions (IMFs) are complex by design and are shown to provide a consistent framework for handling both real and complex data. The simulations on real world complex-valued signals illustrate the applications of the technique.
  • Keywords
    signal representation; statistical analysis; complex-valued signals; intrinsic mode functions; rotation invariant complex empirical mode decomposition; Agricultural engineering; Data analysis; Educational institutions; Fourier transforms; Frequency conversion; Signal analysis; Signal mapping; Signal processing algorithms; Time domain analysis; Wavelet analysis; Empirical Mode Decomposition; Estimation; Signal Modality Characterization; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366853
  • Filename
    4217883