On the Phase Coupling of Two Components Mixing in Empirical Mode Decomposition

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Abstract

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.
Original languageEnglish
Number of pages12
JournalAdvances in Data Science and Adaptive Analysis
DOIs
Publication statusPublished - 3 Aug 2016

Keywords

  • Particle swarm optimization
  • Kuramoto model
  • instanteneous frequency
  • Empirical mode decomposition

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