The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
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...[6] is another time–frequency tool, which has found growing applications in various fields....
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...Nowadays, EMD is a state-of-the-art signal processing method [6] that has been successfully employed in a number of fault detection studies in electrical [14] and mechanical systems [7–13]....
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...Cauchy type criterion [6,16], S-number criterion [17], fixed sifting time criterion [18], mean value criterion [19], orthogonality criterion [20], bandwidth criterion [21], the energy difference tracking method [22], etc)....
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...[6] in 1998 bridge this gap between theory and real life....
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128 citations
128 citations
128 citations
128 citations
References
16,554 citations
"The empirical mode decomposition an..." refers background in this paper
...(ii) Lorenz equation The famous Lorenz equation (Lorenz 1963) was proposed initially to study deterministic non-periodic flow....
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...A brief tutorial on the Hilbert transform with the emphasis on its physical interpretation can be found in Bendat & Piersol (1986)....
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5,910 citations
"The empirical mode decomposition an..." refers methods in this paper
...In order to obtain meaningful instantaneous frequency, restrictive conditions have to be imposed on the data as discussed by Gabor (1946), Bedrosian (1963) and, more recently, Boashash (1992): for any function to have a meaningful instantaneous frequency, the real part of its Fourier transform has…...
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5,806 citations
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...In general, if more quantitative results are desired, the original skeleton presentation is better; if more qualitative results are desired, the smoothed presentation is better....
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...Therefore, the parameter, ν, defined as N21 −N20 = 1 π2 m4m0 −m22 m2m0 = 1 π2 ν2, (3.7) offers a standard bandwidth measure (see, for example, Rice 1944a, b, 1945a, b; Longuet-Higgins 1957)....
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