• DocumentCode
    2181637
  • Title

    Combination of the EMD and the EOSA for Extracting Transient Characteristics

  • Author

    Xie Ping ; Liu Zeng-li ; Hou Meng ; Zhang Yong-de

  • Author_Institution
    Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    Hilbert-Huang Transform (HHT) is widely used in extracting the instantaneous characteristics of signals. If using Hilbert Transform to deal with signals, the signals must Satisfy certain conditions, or else there will be errors in extracting the instantaneous characteristics of general signals. To solve this problem, a new method was proposed which combines EMD with the Energy Operator Separation Algorithm (EOSA). From experimental results, comparing with Hilbert-Huang Transform, this method is more effective in extracting the instantaneous characteristics of the signal.
  • Keywords
    Hilbert transforms; signal processing; EMD; EOSA; Hilbert-Huang transform; energy operator separation algorithm; signal characteristics; Automation; Frequency modulation; Noise; Noise reduction; Time frequency analysis; Wavelet transforms; EMD; EOSA; FSK; HHT; SEOSA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2010 International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-8094-4
  • Type

    conf

  • DOI
    10.1109/ISCID.2010.54
  • Filename
    5692685