Optimizing the detection of nonstationary signals by using recurrence analysis

dc.creatorPrado, Thiago de Lima
dc.creatorLima, Gustavo Zampier dos Santos
dc.creatorLobão-Soares, Bruno
dc.creatorNascimento, George Carlos do
dc.creatorCorso, Gilberto
dc.creatorAraújo, John Fontenele
dc.creatorKurths, Jürgen
dc.creatorLopes, Sérgio Roberto
dc.date.accessioned2020-12-04T19:42:22Z
dc.date.accessioned2022-10-06T13:06:24Z
dc.date.available2020-12-04T19:42:22Z
dc.date.available2022-10-06T13:06:24Z
dc.date.created2020-12-04T19:42:22Z
dc.date.issued2018-08-24
dc.identifierPRADO, Thiago de Lima; LIMA, Gustavo Zampier dos Santos; LOBÃO-SOARES, Bruno; NASCIMENTO, George C. do; CORSO, Gilberto; FONTENELE-ARAUJO, John; KURTHS, Jürgen; LOPES, Sergio Roberto. Optimizing the detection of nonstationary signals by using recurrence analysis. Chaos: An Interdisciplinary Journal of Nonlinear Science, [S.L.], v. 28, n. 8, p. 085703-085703, ago. 2018. Disponível em: https://aip.scitation.org/doi/10.1063/1.5022154. Acesso em: 20 nov. 2020. http://dx.doi.org/10.1063/1.5022154.
dc.identifier1054-1500
dc.identifier1089-7682
dc.identifierhttps://repositorio.ufrn.br/handle/123456789/30824
dc.identifier10.1063/1.5022154
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3963948
dc.publisherAmerican Institute of Physics
dc.subjectCoupled oscillators
dc.subjectMeasuring instruments
dc.subjectMusculoskeletal system
dc.subjectData visualization
dc.subjectLorenz system
dc.subjectFourier analysis
dc.subjectData acquisition
dc.subjectMammals
dc.subjectDynamical systems
dc.subjectNeuroanatomy
dc.titleOptimizing the detection of nonstationary signals by using recurrence analysis
dc.typearticle


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