A Method of Computing Kolmogorov Entropy of the Chaotic Time Series with Wavelet Packet Analysis
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Abstract
In this paper, it is presented that Kolmogorov entropy of the chaotic signal can be computed inm-dimensional phase space with the wavelet packet transform modulus of the nonlinear time series instead of the chaotic signal itself. Based on simulation testing and noise analysis with some examples, it is found that this method is accurate and reliable. It can also overcome the noise disturbance to the signal during the sampling process.
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