一種新的混沌識別方法(Ⅰ)

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一種新的混沌識別方法(Ⅰ)

李擎, 鄭德玲, 趙星浩, 劉東方

文章導航 > 工程科學學報 > 1999 > 21(2): 198-201

李擎, 鄭德玲, 趙星浩, 劉東方. 一種新的混沌識別方法(Ⅰ)[J]. 工程科學學報, 1999, 21(2): 198-201. doi: 10.13374/j.issn1001-053x.1999.02.057

引用本文:

李擎, 鄭德玲, 趙星浩, 劉東方. 一種新的混沌識別方法(Ⅰ)[J]. 工程科學學報, 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

李擎, 鄭德玲, 趙星浩, 劉東方. 一種新的混沌識別方法(Ⅰ)[J]. 工程科學學報, 1999, 21(2): 198-201. doi: 10.13374/j.issn1001-053x.1999.02.057

引用本文:

李擎, 鄭德玲, 趙星浩, 劉東方. 一種新的混沌識別方法(Ⅰ)[J]. 工程科學學報, 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

一種新的混沌識別方法(Ⅰ)

doi: 10.13374/j.issn1001-053x.1999.02.057

北京科技大學信息工程學院, 北京 100083

基金項目:

國家自然科學基金(No.69772014)

作者簡介:
李擎男,27歲,博士生

中圖分類號: TP18.2
計量
- 文章訪問數: 265
- HTML全文瀏覽量: 90
- PDF下載量: 6
- 被引次數: 0
出版歷程
- 收稿日期: 1998-06-03
- 網絡出版日期: 2021-08-27

New Identification Method for Chaos (Ⅱ)

Informatinn Engineering School, UST Beijing, Beijing 100083, China

摘要: 為了識別混沌信號和隨機信號,針對G-P算法及其改進算法的不足,提出了一種新的改進算法.該算法不僅能簡化無標度區的確定過程,而且能客觀地判斷系統的關聯維數是否飽和.仿真結果表明,新的改進算法對于混沌信號的識別是有效的.
- 混沌識別 /
- G-P算法 /
- 無標度區
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.
- identification for chaos /
- G-P algorithm /
- no-scale interval

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文章訪問數: 265
HTML全文瀏覽量: 90
PDF下載量: 6
被引次數: 0

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