Papers › Iterative Filtering as a direct method for the decomposition of non-stationary signals

Iterative Filtering as a direct method for the decomposition of non-stationary signals

8 Nov 2018arXiv:1811.03536links table onlyarchive 2025-07-28

Antonio Cicone

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The Iterative Filtering method is a technique developed recently for the decomposition and analysis of non-stationary and non-linear signals. In this work we propose two alternative formulations of the original algorithm which allows to transform the Iterative Filtering method into a direct technique, making the algorithm closer to an online algorithm. We present a few numerical examples to show the effectiveness of the proposed approaches.

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Acicone/FIF mentioned on GitHub report
Acicone/MFIF mentioned on GitHub report
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Acicone/htFIF-dFIF mentioned on GitHub report

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