Iterative filtering as a direct method for the decomposition of nonstationary signals
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چکیده
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Iterative Filtering as an Alternative Algorithm for Empirical Mode Decomposition
The empirical mode decomposition (EMD) was a method pioneered by Huang et al [8] as an alternative technique to the traditional Fourier and wavelet techniques for studying signals. It decomposes a signal into several components called intrinsic mode functions (IMF), which have shown to admit better behaved instantaneous frequencies via Hilbert transforms. In this paper we propose an alternative...
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15 صفحه اولNew method for analysis of nonstationary signals
BACKGROUND Analysis of signals by means of symbolic methods consists in calculating a measure of signal complexity, for example informational entropy or Lempel-Ziv algorithmic complexity. For construction of these entropic measures one uses distributions of symbols representing the analyzed signal. RESULTS We introduce a new signal characteristic named sequential spectrum that is suitable for...
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Theobjective in this paper to study and present a new iterative method possessing high convergence order for calculating the polar decompostion of a matrix. To do this, it is shown that the new scheme is convergent and has high convergence. The analytical results are upheld via numerical simulations and comparisons.
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ژورنال
عنوان ژورنال: Numerical Algorithms
سال: 2020
ISSN: 1017-1398,1572-9265
DOI: 10.1007/s11075-019-00838-z