Wavelet characterization of hyper-chaotic time series Article

•  
• Overview
•  
• Research
•  
• Identity
•  
• Additional Document Info
•  
• View All
•  

Overview

abstract

• A wavelet scaling numerical characterization of time series based on the variance of the wavelet coefficients is used for three well-known fourdimensional and one five-dimensional hyper-chaotic systems. We report several scaling behaviors for the variables of these hyper-chaotic systems. © 2019, Revista Mexicana de Física.

authors

• Mejía Carlos Marcela
• Murguía Ibarra José Salomé
• Reyes-López L.E.
• Rosu H.C.
• Vargas-Olmos C.

publication date

• 2018-01-01

published in

• Revista Mexicana de Fisica  Journal

Research

keywords

• Discrete wavelet transform; Hyper-chaotic time series; Scaling analysis; Wavelet variance

Identity

Digital Object Identifier (DOI)

• 10.31349/REVMEXFIS.64.283

Additional Document Info

start page

• 283

end page

• 290

volume

• 64

issue

• 3