李擎, 郑德玲, 赵星浩, 刘东方. 一种新的混沌识别方法(Ⅰ)[J]. 工程科学学报, 1999, 21(2): 198-201. DOI: 10.13374/j.issn1001-053x.1999.02.057
引用本文: 李擎, 郑德玲, 赵星浩, 刘东方. 一种新的混沌识别方法(Ⅰ)[J]. 工程科学学报, 1999, 21(2): 198-201. DOI: 10.13374/j.issn1001-053x.1999.02.057
Li Qing, Zheng Deling, Zhao Xinghao, Liu Dongfang. New Identification Method for Chaos (Ⅱ)[J]. Chinese Journal of Engineering, 1999, 21(2): 198-201. DOI: 10.13374/j.issn1001-053x.1999.02.057
Citation: Li Qing, Zheng Deling, Zhao Xinghao, Liu Dongfang. New Identification Method for Chaos (Ⅱ)[J]. Chinese Journal of Engineering, 1999, 21(2): 198-201. DOI: 10.13374/j.issn1001-053x.1999.02.057

一种新的混沌识别方法(Ⅰ)

New Identification Method for Chaos (Ⅱ)

  • 摘要: 为了识别混沌信号和随机信号,针对G-P算法及其改进算法的不足,提出了一种新的改进算法.该算法不仅能简化无标度区的确定过程,而且能客观地判断系统的关联维数是否饱和.仿真结果表明,新的改进算法对于混沌信号的识别是有效的.

     

    Abstract: In order to distinguish chaotic signal from stochastic signal, a new improved algorithm is proposed to overcome the shortcoming of the G-P algorithm and its improved form. The determination of the no-scale interval is simplified when the new algorithm is used. Moreover, the judgement for the saturation of the correlation dimension is realized objectively. The effectiveness of the new algorithm is illustrated by simulation samples.

     

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