On the influence of time-series length in EMD to extract frequency content: Simulations and models in biomedical signals

Abstract In this paper, fractional Gaussian noise (fGn) was used to simulate a homogeneously spreading broadband signal without any dominant frequency band, and to perform a simulation study about the influence of time-series length in the number of intrinsic mode functions (IMFs) obtained after emp...

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Veröffentlicht in:	Medical engineering & physics 2009-07, Vol.31 (6), p.713-719
Hauptverfasser:	Fonseca-Pinto, R, Ducla-Soares, J.L, Araújo, F, Aguiar, P, Andrade, A
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Computer Simulation Data Interpretation, Statistical Diagnosis, Computer-Assisted - methods Empirical mode decomposition (EMD) Fractional Gaussian noise (fGn) Humans Intrinsic mode functions (IMF) Models, Biological Models, Statistical Radiology Signal Processing, Computer-Assisted Simulation models Time-series length
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