Scaling analysis of hyperchaotic time series
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The time series of the states of several well-known hyperchaotic systems are analyzed numerically using the detrended fluctuation analysis based on the discrete wavelet transform. We report the finding of significant scaling behaviors (power-law like) in some of these time series, which can be used as an additional characteristic distinguishing the dynamical evolution of such systems. © 2017 World Scientific Publishing Company.
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detrended fluctuation analysis; Hyperchaotic time series; scaling laws; wavelet transform
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