An Improved EMD and Its Applications to Find the Basis Functions of EMI Signals

被引:32
|
作者
Li, Hongyi [1 ]
Wang, Chaojie [1 ]
Zhao, Di [1 ]
机构
[1] Beihang Univ, Sch Math & Syst Sci, LMIB, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
HILBERT-HUANG TRANSFORM;
D O I
10.1155/2015/150127
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:8
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