Correlation between Hurst exponent and Poincaré parameters in non-linear signal analysis

G. Ertas, A. U. Keskin
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Abstract

In this study, relationship between the Hurst exponent and the Poincaré parameters utilized in analysis of non-linear signals was investigated. A total of 800 artificial signals, composed of signals with eight different lengths and one hundred signals for each length, was produced using fractional Brownian motion signals. “Rescaled Range” analysis was performed to determine Hurst exponent and Poincaré parameters were calculated by performing Poincaré analysis to each signal. Pearson correlation analysis results show that there is no significant correlation between Poincaré parameters and Hurst exponent. However, it should be noted that, in this study, artificial signals have been used. Analysis of actual signals will be the subject of our next study.
非线性信号分析中Hurst指数与poincarcarr参数的相关性
本文研究了用于非线性信号分析的Hurst指数与poincar参数之间的关系。利用分数布朗运动信号共产生了800个人工信号,这些信号由8个不同长度的信号组成,每个长度有100个信号。通过“Rescaled Range”分析确定Hurst指数,通过对每个信号进行poincar分析计算poincar参数。Pearson相关分析结果表明,poincarcarr参数与Hurst指数之间不存在显著相关。然而,应该指出的是,在本研究中,使用了人工信号。对实际信号的分析将是我们下一个研究的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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