An orthogonal technique for empirical mode decomposition in Hilbert-Huang transform
نویسندگان
چکیده
منابع مشابه
Derivative-optimized empirical mode decomposition for the Hilbert-Huang transform
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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1Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, USA 2Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA 3Departments of Mathematics and Statistics and Molecular Physiology Biophysics, The University of Vermont, Burlington, VT 05405, USA 4Civil Engineering Specialty, Division of Engineering, Colorado Scho...
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The Hilbert-based time-frequency analysis has promising capacity to reveal the time-variant behaviors of a system. To admit well-behaved Hilbert transforms, component decomposition of signals must be performed beforehand. This was first systematically implemented by the empirical mode decomposition (EMD) in the Hilbert-Huang transform, which can provide a time-frequency representation of the si...
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Empirical mode decomposition (EMD) and Empirical wavelet transform (EWT) are recently developed adaptive signal processing tools. These techniques decompose a signal accordingly to its contained information. The main issue with EMD is its lack of theory and in case of EWT a prior knowledge of the signal is required. IMF’s obtained as a result of applying EMD are quasi-orthogonal .This paper sug...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2015
ISSN: 2261-236X
DOI: 10.1051/matecconf/20152403004