Estimating delay time in phase space reconstruction based on detecting nonlinear correlation of system
XU Yan;WANG Bo;LI Peng
Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (8) : 4-10.
Estimating delay time in phase space reconstruction based on detecting nonlinear correlation of system
A new method to determine delay time is proposed, which is called nonlinear multiple autocorrelation function method. The method uses a high order multiple autocorrelation function, R(τ), to calculate the nonlinear correlation of system and estimates the optimal delay time by finding the first local minimum value of R(τ). The time complexity is low and the dependence on the length of data is not strong. The performance of the algorithm is tested by being applied to five noisy chaotic time series. The time series are generated by four chaotic maps adding different noise level Gauss white noise. The numerical results show that, the method is more appropriate and robust to noise.
chaotic time series / noise level / phase space reconstruction / embedding dimension / delay time {{custom_keyword}} /
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