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Wavelet characterization of hyper-chaotic time series

dc.contributor.authorMurguía, José
dc.contributor.authorRosu Barbus, Haret-Codratian
dc.contributor.authorReyes López, Luis Eduardo
dc.contributor.authorMejía Carlos, Marcela
dc.contributor.authorVargas Olmos, Cecilia
dc.date.accessioned2020-12-04T19:42:18Z
dc.date.available2020-12-04T19:42:18Z
dc.date.issued2018
dc.identifier.citationMurguia, Jose & Rosu, Haret & Reyes-Lopez, L. & Mejia, Marcela & Vargas-Olmos, Cecilia. (2018). Wavelet characterization of hyper-chaotic time series. Revista Mexicana de Fisica. 64. 283-290. 10.31349/RevMexFis.64.283.
dc.identifier.urihttp://hdl.handle.net/11627/5506
dc.description.abstractA wavelet scaling numerical characterization of time series based on the variance of the wavelet coefficients is used for three well-known four-dimensional and one five-dimensional hyper-chaotic systems. We report several scaling behaviors for the variables of these hyper-chaotic systems.
dc.publisherSociedad Mexicana de Física, A.C.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHyper-chaotic time series
dc.subjectDiscrete wavelet transform
dc.subjectWavelet variance
dc.subjectScaling analysis
dc.subject.classificationFÍSICA
dc.titleWavelet characterization of hyper-chaotic time series
dc.typearticle
dc.identifier.doihttps://doi.org/10.31349/RevMexFis.64.283
dc.rights.accessAcceso Abierto


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