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On the phase coupling of two components mixing in empirical mode decomposition

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Laszuk, D., Cadenas, J. O. and Nasuto, S. J. (2016) On the phase coupling of two components mixing in empirical mode decomposition. Advances in Data Science and Adaptive Analysis, 08 (01). 1650004. ISSN 2424-922X

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To link to this item DOI: 10.1142/S2424922X16500042

Abstract/Summary

This paper investigates frequency mixing effect of empirical mode decomposition (EMD) and explores whether it can be explained by simple phase coupling between components of the input signal. The input is assumed to be a linear combination of harmonic oscillators. The hypothesis was tested assuming that phases of input signals’ components would couple according to Kuramoto’s model. Using a Kuramoto’s model with as many oscillators as the number of intrinsic mode functions (result of EMD), the model’s parameters were adjusted by a particle swarm optimization (PSO) method. The results show that our hypothesis is plausible, however, a different coupling mechanism than the simple sine-coupling Kuramoto’s model are likely to give better results.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:69462
Uncontrolled Keywords:empirical mode decomposition; instantaneous frequency; frequency mixing; particle swarm optimization; Kuramoto model; phase coupling
Publisher:World Scientific Publishing

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