• DocumentCode
    2162440
  • Title

    An Improved Empirical Mode Decomposition

  • Author

    Yang, Zhihua ; Yang, Lihua

  • Author_Institution
    Inf. Sci. & Technol. Sch., Guangdong Univ. of Bus. Studies, Guangzhou, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on a detailed discussion regarding the attributes of so-called ride waves and the shortages of the classical empirical mode decomposition, this paper presents an improved method. A key point of the proposed method is that the ride waves in a signal should been first removed as independent components before the classical empirical mode decomposition is conducted. Experiments have shown that the proposed method makes much physical sense and the final presentation-Hilbert spectrum gives sharper localization both on time and frequency fields.
  • Keywords
    Hilbert transforms; adaptive signal processing; Hilbert spectrum; Hilbert-Huang transform; empirical mode decomposition; intrinsic mode function; ride waves; Information science; Mathematics; Neural networks; Partial differential equations; Signal processing; Signal processing algorithms; Spline; Sun; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304356
  • Filename
    5304356