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Computation of Optimal Embedding Dimension and Time Lag in Reconstruction of Phase Space Based on Correlation Integral

机译:基于相关积分的相空间重构中最优嵌入维数和时滞的计算

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摘要

Many characteristic invariants including Lyapunov exponent, fractal dimension, and Kolmogorov entropy can be used to measure the chaotic degree of dynamics system. A statistical computation method to determine the optimal embedding dimension and time lag parameter in reconstruction of phase space via the method of delay coordinates status space reconstruction to calculate the correlation function was introduced in this paper. Some scenarios for research on chaotic time series analysis have been also put forward.
机译:可以使用许多特征不变性,包括Lyapunov指数,分形维数和Kolmogorov熵,来衡量动力学系统的混沌程度。介绍了一种统计计算方法,通过延迟坐标状态空间重构的方法,确定相空间重构的最优嵌入维数和时滞参数,从而计算出相关函数。还提出了一些研究混沌时间序列分析的方案。

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