Wavelet characterization of hyper-chaotic time series

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 states of these hyper-chaotic systems.

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Veröffentlicht in:Revista mexicana de física 2018-06, Vol.64 (3 May-Jun), p.283-290
Hauptverfasser: Murguía, J. S., Rosu, H. C., Reyes-López, L. E., Mejía-Carlos, M., Vargas-Olmos, C.
Format: Artikel
Sprache:eng
Schlagworte:
Physics, Multidisciplinary
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Beschreibung
Zusammenfassung: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 states of these hyper-chaotic systems.
ISSN:0035-001X
2683-2224
DOI:10.31349/RevMexFis.64.283