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

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...

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Bibliographic Details
Published in:Numerical algorithms Vol. 85; no. 3; pp. 811 - 827
Main Author: Cicone, Antonio
Format: Journal Article
Language:English
Published: New York Springer US 01.11.2020
Springer Nature B.V
Subjects:
Algebra
Algorithms
Computer Science
Decomposition
Dengue fever
Eigenvalues
Filtration
Fourier transforms
Heart rate
Iterative methods
Methods
Numeric Computing
Numerical Analysis
Original Paper
Signal processing
Theory of Computation
Direct method
Empirical mode decomposition
65T50
Nonlinear and nonstationary signals
Fast algorithms
Fast Fourier transform
65F15
Iterative filtering
94A12
Signal decomposition
Nonstationary signal
15A18
ISSN:1017-1398, 1572-9265
Online Access:Get full text
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1017-1398
1572-9265
DOI:10.1007/s11075-019-00838-z