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Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT
[article]
2018
arXiv
pre-print
Real life signals are in general non--stationary and non--linear. The development of methods able to extract their hidden features in a fast and reliable way is of high importance in many research fields. In this work we tackle the problem of further analyzing the convergence of the Iterative Filtering method both in a continuous and a discrete setting in order to provide a comprehensive analysis of its behavior. Based on these results we provide new ideas for efficient implementations of
arXiv:1802.01359v2
fatcat:y5dlel4ppnc3vgaebimt4cl4b4