Wavelet characterization of hyper-chaotic time series

dc.contributor.author	Murguía, José
dc.contributor.author	Rosu Barbus, Haret-Codratian
dc.contributor.author	Reyes López, Luis Eduardo
dc.contributor.author	Mejía Carlos, Marcela
dc.contributor.author	Vargas Olmos, Cecilia
dc.date.accessioned	2020-12-04T19:42:18Z
dc.date.available	2020-12-04T19:42:18Z
dc.date.issued	2018
dc.identifier.citation	Murguia, 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.uri	http://hdl.handle.net/11627/5506
dc.description.abstract	A 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.publisher	Sociedad Mexicana de Física, A.C.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Hyper-chaotic time series
dc.subject	Discrete wavelet transform
dc.subject	Wavelet variance
dc.subject	Scaling analysis
dc.subject.classification	FÍSICA
dc.title	Wavelet characterization of hyper-chaotic time series
dc.type	article
dc.identifier.doi	https://doi.org/10.31349/RevMexFis.64.283
dc.rights.access	Acceso Abierto

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional