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Detection of harmonic signals from chaotic interference by empirical mode decomposition

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  • Li, H.G.
  • Meng, G.

Abstract

An empirical mode decomposition (EMD) approach to the harmonic signal extraction from chaotic interference is proposed. Based on the EMD and the concept that any signal is composed of a series of simple intrinsic modes, the chaotic interference signal is decomposed to a series of intrinsic mode functions (IMFs), among which one IMF is the recovered harmonic signal. In this study, harmonic signals are contaminated with a chaotic interference signal which is generated by a Duffing oscillator, and the simulation results show that the harmonic signals can be effectively recovered from the contaminated signals by the EMD approach.

Suggested Citation

  • Li, H.G. & Meng, G., 2006. "Detection of harmonic signals from chaotic interference by empirical mode decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 30(4), pages 930-935.
  • Handle: RePEc:eee:chsofr:v:30:y:2006:i:4:p:930-935
    DOI: 10.1016/j.chaos.2005.08.174
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    References listed on IDEAS

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    1. Bai, Er-Wei & Lonngren, Karl E. & Uçar, Ahmet, 2005. "Secure communication via multiple parameter modulation in a delayed chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 23(3), pages 1071-1076.
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    Cited by:

    1. Chen, Mu-Chen & Wei, Yu, 2011. "Exploring time variants for short-term passenger flow," Journal of Transport Geography, Elsevier, vol. 19(4), pages 488-498.

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