@Article{FerreiraFolDomMacKis:2017:ExPhSy,
author = "Ferreira, Maria Teodora and Follmann, Rosangela and Domingues,
Margarete Oliveira and Macau, Elbert Einstein Nehrer and Kiss,
Istvan Z.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Saint Louis University}",
title = "Experimental phase synchronization detection in non-phase coherent
chaotic systems by using the discrete complex wavelet approach",
journal = "Chaos",
year = "2017",
volume = "27",
number = "8",
pages = "number 083122",
month = "aug.",
abstract = "Phase synchronization may emerge from mutually interacting
non-linear oscillators, even under weak coupling, when phase
differences are bounded, while amplitudes remain uncorrelated.
However, the detection of this phenomenon can be a challenging
problem to tackle. In this work, we apply the Discrete Complex
Wavelet Approach (DCWA) for phase assignment, considering signals
from coupled chaotic systems and experimental data. The DCWA is
based on the Dual-Tree Complex Wavelet Transform (DT-CWT), which
is a discrete transformation. Due to its multi-scale properties in
the context of phase characterization, it is possible to obtain
very good results from scalar time series, even with
non-phase-coherent chaotic systems without state space
reconstruction or pre-processing. The method correctly predicts
the phase synchronization for a chemical experiment with three
locally coupled, non-phase-coherent chaotic processes. The impact
of different time-scales is demonstrated on the synchronization
process that outlines the advantages of DCWA for analysis of
experimental data.",
doi = "10.1063/1.4999908",
url = "http://dx.doi.org/10.1063/1.4999908",
issn = "1054-1500",
language = "en",
targetfile = "ferreira_experimental.pdf",
urlaccessdate = "28 abr. 2024"
}