An improved EMD and its applications to find the basis functions of EMI signals
type: Item
instance of: scholarly article
title: An improved EMD and its applications to find the basis functions of EMI signals
zbMATH Open document ID: 1395.94135
DOI: 10.1155/2015/150127
author: Hongyi Li
author: Chaojie Wang
author: Di Zhao
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: A B-spline empirical mode decomposition (BEMD) method is proposed to improve the celebrated empirical mode decomposition (EMD) method. The improvement of BEMD on EMD mainly concentrates on the sifting process. First, instead of the curve that resulted from computing the average of upper and lower envelopes, the curve interpolated by the midpoints of local maximal and minimal points is used as the mean curve, which can reduce the cost of computation. Second, the cubic spline interpolation is replaced with cubic B-spline interpolation on account of the advantages of B-spline over polynomial spline. The effectiveness of BEMD compared with EMD is validated by numerical simulations and an application to find the basis functions of EMI signals.
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 6925589
Wikidata QID: Q59117391
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/150127
OpenAlex ID: W2180660427
cites work: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
cites work: A B-spline approach for empirical mode decompositions
cites work: Q3375593
description: scientific article; zbMATH DE number 6925589