| 基于相空间邻域的混沌时间序列自适应预测滤波器(Ⅱ)非线性自适应滤波 |
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| 引用本文： | 甘建超,肖先赐.基于相空间邻域的混沌时间序列自适应预测滤波器(Ⅱ)非线性自适应滤波[J].物理学报,2003,52(5):1102-1107. |
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| 作者姓名： | 甘建超 肖先赐 |
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| 作者单位： | (1)电子科技大学电子工程学院，成都 610054; (2)电子科技大学电子工程学院，成都 610054;电子对抗国防科技重点实验室，成都 610036 |
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| 基金项目： | 国防预研基金（批准号：51435050101DZ0203）资助的课题. |
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| 摘 要： | 根据相空间重构理论、最小均方误差准则和最陡下降原理，提出了一种基于相空间邻域的非线性自适应滤波算法.实验结果表明：这种非线性自适应预测滤波器能够有效预测一些混沌序列，在某种程度上具有抗噪声的能力.
关键词：
混沌时间序列
重构矢量
最小均方误差准则
非线性自适应预测
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| 关 键 词： | 混沌时间序列 重构矢量 最小均方误差准则 非线性自适应预测 |
| 文章编号： | 1000-3290/2003/52(05)1102-06 |
| 收稿时间： | 2002-08-16 |
| 修稿时间： | 2002年8月16日 |
Adaptive predict-filter of chaotic time series constructed Based on the neighbourhood in the reconstructed phase space(Ⅱ) nonlinear adaptive filter |
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| Gan Jian-Chao and Xiao Xian-Ci.Adaptive predict-filter of chaotic time series constructed Based on the neighbourhood in the reconstructed phase space(Ⅱ) nonlinear adaptive filter[J].Acta Physica Sinica,2003,52(5):1102-1107. |
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| Authors: | Gan Jian-Chao and Xiao Xian-Ci |
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| Abstract: | A kind of adaptive nonlinear predict-filter of chaotic time series using the neighbourhood in the reconstructed phase space,the minimum square-root-error criterion and the steepest descent principle is proposed.It can convert the time domain into the multi-dimensional vector domain, and predict chaotic time series by nonlinear filter. The result of computer simulation illustrates that the algorithm is available to predict some chaotic series and anti-noise. |
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| Keywords: | chaotic time series reconstructed vector nonlinear adaptive prediction the minimum square root error criterion |
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