@InProceedings{FerreiraFmanMacaDomi:2013:DePhSy,
author = "Ferreira, Maria Teodora and Fmann, Rosangela and Macau, Elbert E.
N. and Domingues, Margarete O.",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Detecting phase synchronization in coupled chaotic noncoherent
oscillators by using complexwavelet transform",
booktitle = "Proceedings...",
year = "2013",
editor = "et. al. , Z. Dimitrovov' a",
organization = "International Conference on Vibration Problems, 11. (ICOVP).",
keywords = "chaos, phase synchronization, synchronization in chaotic systems,
wavelet, dynamical.",
abstract = "Phase synchronization in nonidentical coupled chaotic systems
appears for some conditions in which weak coupling causes the
systems evolution on time to lock in phase to one another, while
their amplitudes may remain chaotic and are, in general,
uncorrelated. To identify this phenomenon, given a signal it is
necessary to measure properly its phase. If a system has a
dominant peak in the power spectrum, there are several methods to
define the phase. However, if the signal has a broad-band
spectrum, which is typical for non-coherent signal, then the
measurement of the phase may be a challenge. Phase is defined as
an increasing function of time. The standard method for measuring
phase does no complain with this requirement. In this work we
present an innovative method for measuring phase that complain
with the increasing function of time requirement. This method is
based on Dual Tree Complex Wavelet Transform, which is a form of
discrete wavelet transform that generates complex coefficient by
using a dual tree wavelet filters to obtain their real and
imaginary parts. The proposed approach is robust and
computationally efficient. Furthermore, this approach shows
flexibility and in principle is applicable to any experimental
time serie.",
conference-location = "Lisbon",
conference-year = "9–12 Sep. 2013",
language = "en",
targetfile = "mteodoraf_ICOVP2013.pdf",
urlaccessdate = "02 maio 2024"
}