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Hybrid wavelet-Hilbert-Huang spectrum analysis

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3 Author(s)
Fu-Tai Wang ; Dept. of Electr. Eng., National Taiwan Ocean Univ., Keelung, Taiwan ; Shun-Hsyung Chang ; Lee, J.C.-Y.

Empirical mode decomposition (EMD) is a new method pioneered by Huang et al. for non-linear and non-stationary signal analysis. Signals are adaptively decomposed into several zero-mean amplitude modulation-frequency modulation (AM-FM) components. Each AM-FM subsignal has well defined instantaneous frequency (IF) called intrinsic mode functions (IMFs). This paper proposes a wavelet packet based method, to increase the band pass filtering ability of the EMD and this method is illustrated for simulation data of AM-FM signals and the results of IF estimation of signals are shown through both the Hilbert transform and the Teager energy operator (TEO).

Published in:

Oceans 2005 - Europe  (Volume:2 )

Date of Conference:

20-23 June 2005

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