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03-02-2020 | Original Paper | Issue 3/2020

Iterative filtering as a direct method for the decomposition of nonstationary signals

Journal:: Numerical Algorithms > Issue 3/2020

Author:: Antonio Cicone

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Abstract

The Iterative Filtering method is a technique developed recently for the decomposition and analysis of nonstationary and nonlinear 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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Title: Iterative filtering as a direct method for the decomposition of nonstationary signals
Author:: Antonio Cicone
Publication date: 03-02-2020
DOI: https://doi.org/10.1007/s11075-019-00838-z
Publisher: Springer US
Journal: Numerical Algorithms
Issue 3/2020
Print ISSN: 1017-1398
Electronic ISSN: 1572-9265

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