• DocumentCode
    2144272
  • Title

    Adaptive Instantaneous Frequency Estimation Based on EMD and TKEO

  • Author

    Zhang, Yuping ; Li, Hui ; Bi, Lihong

  • Author_Institution
    Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    60
  • Lastpage
    64
  • Abstract
    An adaptive approach to the estimation of the instantaneous frequency (IF) of non-stationary and nonlinear multi-component signals is presented. This method relates to the newly developed empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO). EMD can adaptively decompose signal into a series of zero mean amplitude modulation-frequency modulation (AM-FM) intrinsic mode functions (IMFs). TKEO can track the instantaneous frequency (IF) and the instantaneous amplitude (IA) of the AM-FM component at any time instant. Two simulated signals are conducted to evaluate the effectiveness of the proposed method. Simulation results show that EMD and TKEO are effectively applied to signal of multi-component for the extraction of instantaneous frequency.
  • Keywords
    adaptive estimation; amplitude modulation; frequency estimation; frequency modulation; signal processing; Teager Kaiser energy operator; adaptive instantaneous frequency estimation; empirical mode decomposition; nonstationary nonlinear multicomponent signals; zero mean amplitude modulation-frequency modulation intrinsic mode functions; Adaptive signal processing; Amplitude modulation; Analytical models; Bismuth; Frequency estimation; Power engineering and energy; Rail transportation; Railway engineering; Signal analysis; Signal processing; Empirical Mode Decomposition; Instantaneous Frequency; Intrinsic Mode Functions; Signal Processing; Teager Kaiser Energy Operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.483
  • Filename
    4566119