Wavelet characterization of hyper-chaotic time series

"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."...

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Detalles Bibliográficos
Autores: JOSE MURGUIA, Haret Codratian Rosu, LUIS EDUARDO REYES LOPEZ, Marcela Mejía Carlos, CECILIA VARGAS OLMOS
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:México
Institución:Instituto Potosino de Investigación Científica y Tecnológica
Repositorio:Repositorio Institucional del IPICYT
OAI Identifier:oai:ipicyt.repositorioinstitucional.mx:1010/2301
Acceso en línea:http://ipicyt.repositorioinstitucional.mx/jspui/handle/1010/2301
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/Autor/Hyper-chaotic time series
info:eu-repo/classification/Autor/Discrete wavelet transform
info:eu-repo/classification/Autor/Wavelet variance
info:eu-repo/classification/Autor/Scaling analysis
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/22
Descripción
Sumario:"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."