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

被引：48
|
作者：
Cicone, Antonio [1 ,2 ,3 ]
机构：
[1] Ist Nazl Alta Matemat, Ple Aldo Moro 5, I-00185 Rome, Italy
[2] Univ Aquila, DISIM, Via Vetoio 1, I-67100 Laquila, Italy
[3] Gran Sasso Sci Inst, Via Michele Jacobucci 2, I-67100 Laquila, Italy
来源：
NUMERICAL ALGORITHMS | 2020年 / 85卷 / 03期
关键词：
Iterative filtering; Direct method; Signal decomposition; Nonstationary signal; Empirical mode decomposition; Fast algorithms; Fast Fourier transform; Nonlinear and nonstationary signals; EMPIRICAL-MODE DECOMPOSITION; SINGULAR-SPECTRUM ANALYSIS; HILBERT SPECTRUM;
D O I：
10.1007/s11075-019-00838-z
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
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.
引用
收藏
页码：811 / 827
页数：17
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