Morphological Filter-Assisted Ensemble Empirical Mode Decomposition
Joint Authors
Zhou, Xiaohang
Shan, Deshan
Li, Qiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In the ensemble empirical mode decomposition (EEMD) algorithm, different realizations of white noise are added to the original signal as dyadic filter banks to overcome the mode mixing problems of empirical mode decomposition (EMD).
However, not all the components in white noise are necessary, and the superfluous components will introduce additional mode mixing problems.
To address this problem, morphological filter-assisted ensemble empirical mode decomposition (MF-EEMD) was proposed in this paper.
First, a new method for determining the structuring element shape and size was proposed to improve the adaptive ability of morphological filter (MF).
Then, the adaptive MF was introduced into EMD to remove the superfluous white noise components to improve the decomposition results.
Based on the contributions of MF in a single EMD process, the MF-EEMD was proposed by combining EEMD with MF to suppress the mode mixing problems.
Finally, an analog signal and a measured signal were used to verify the feasibility of MF-EEMD.
The results show that MF-EEMD significantly mitigates the mode mixing problems and achieves a higher decomposition efficiency compared to that of EEMD.
American Psychological Association (APA)
Zhou, Xiaohang& Shan, Deshan& Li, Qiao. 2018. Morphological Filter-Assisted Ensemble Empirical Mode Decomposition. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208134
Modern Language Association (MLA)
Zhou, Xiaohang…[et al.]. Morphological Filter-Assisted Ensemble Empirical Mode Decomposition. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1208134
American Medical Association (AMA)
Zhou, Xiaohang& Shan, Deshan& Li, Qiao. Morphological Filter-Assisted Ensemble Empirical Mode Decomposition. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208134
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208134