EMD Sifting Based on Bandwidth

EMD Sifting Based on Bandwidth

Empirical-mode decomposition (EMD) provides a powerful tool for adaptive multiscale analysis of nonstationary signals. Aiming at the intrinsic mode function (IMF) criteria in sifting process and the scale mixing problem in EMD, this paper proposes a bandwidth criterion for IMF. By analyzing the simu...

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Veröffentlicht in:IEEE signal processing letters 2007-08, Vol.14 (8), p.537-540
Hauptverfasser: Xuan, Bo, Xie, Qiwei, Peng, Silong
Format: Artikel
Sprache:eng
Schlagworte:
Analytical models
Approximation
Bandwidth
Criteria
Empirical-mode decomposition (EMD)
Frequency
Information analysis
instantaneous frequency (IF)
intrinsic mode function (IMF)
local narrowband signal
Narrowband
Screening (sizing)
Sifting
Signal analysis
Signal processing
Simulation
Spectral analysis
Technology management
Wavelet analysis
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Beschreibung
Zusammenfassung:Empirical-mode decomposition (EMD) provides a powerful tool for adaptive multiscale analysis of nonstationary signals. Aiming at the intrinsic mode function (IMF) criteria in sifting process and the scale mixing problem in EMD, this paper proposes a bandwidth criterion for IMF. By analyzing the simulated signal, it is confirmed that the IMFs obtained with the bandwidth criterion approximate the real components better and reflect the intrinsic information of the analyzed signal. Furthermore, the criterion based on bandwidth can weaken the scale mixing problem.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2007.891833