EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum
نویسندگان
چکیده
منابع مشابه
EMD: A Package for Empirical Mode Decomposition and Hilbert Spectrum
The concept of empirical mode decomposition (EMD) and the Hilbert spectrum (HS) has been developed rapidly in many disciplines of science and engineering since Huang et al. (1998) invented EMD. The key feature of EMD is to decompose a signal into so-called intrinsic mode function (IMF). Furthermore, the Hilbert spectral analysis of intrinsic mode functions provides frequency information evolvin...
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In this paper, we propose algorithms which preserve energy in empirical mode decomposition (EMD), generating finite n number of band limited Intrinsic Mode Functions (IMFs). In the first energy preserving EMD (EPEMD) algorithm, a signal is decomposed into linearly independent (LI), non orthogonal yet energy preserving (LINOEP) IMFs and residue (EPIMFs). It is shown that a vector in an inner pro...
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‘Broadly speaking, spatial analysis can be defined as the formal quantitative study of phenomena that manifest themselves in space. This implies an attention to location, area, distance and interaction’ (Anselin et al., 1993). Spatial analysis has been a popular topic in geospatial sciences. Spatial analysis was viewed as being deeply rooted in spatial statistics, and quantitative geographers h...
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in this paper some new applications of empirical mode decomposition (emd) and hilbert spectrum in seismic ground-roll attenuation, random noise attenuation and spectral decomposition are introduced. hilbert spectrum is a time-frequency representation for hilbert-huang transform which is obtained by combination of instantaneous frequency (if) concept and intrinsic mode function of empirical mode...
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In the empirical mode decomposition (EMD) for the Hilbert–Huang transform (HHT), a nonlinear and non-stationary signal is adaptively decomposed by an HHT into a series of intrinsic mode functions (IMFs) with the lowest one as the trend. At each step of the EMD, the low-frequency component is mainly determined by the average of the upper envelope (consisting of local maxima) and the lower envelo...
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ژورنال
عنوان ژورنال: The R Journal
سال: 2009
ISSN: 2073-4859
DOI: 10.32614/rj-2009-002