Wavelet characterization of hyper-chaotic time series

Authors

  • J. S. Murguía Facultad de Ciencias, Universidad Autónoma de San Luis Potosí
  • H. C. Rosu IPICyT, Instituto Potosino de Investigacion Cientica y Tecnologica, Camino a la presa San Jose 2055, Col. Lomas 4a Seccion, 78216 San Luis Potos, S.L.P., Mexico
  • L. E. Reyes-López
  • M. Mejía-Carlos Instituto de Investigacion en Comunicacion Optica, UASLP, Alvaro Obregon 64, 78000 San Luis Potos, S.L.P., Mexico
  • C. Vargas-Olmos

DOI:

https://doi.org/10.31349/RevMexFis.64.283

Keywords:

Hyper-chaotic time series, discrete wavelet transform, wavelet variance, scaling analysis.

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 states of these hyper-chaotic systems.

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Published

2018-04-30

Issue

Vol. 64 No. 3 May-Jun (2018): Revista Mexicana de Física

Section

Gravitation, Mathematical Physics and Field Theory

License

Authors retain copyright and grant the Revista Mexicana de Física right of first publication with the work simultaneously licensed under a CC BY-NC-ND 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

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