| 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 |
| |
| 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 |
| |
| 作者姓名： | 甘建超 肖先赐 |
| |
| 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 |
| |
| 基金项目： | 国防预研基金（批准号：51435050101DZ0203）资助的课题. |
| |
| 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
|
| 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： | 2002-08-16 |
Adaptive predict-filter of chaotic time series constructed Based on the neighbourhood in the reconstructed phase space(Ⅱ) nonlinear adaptive filter |
| |
| 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 |
| |
| Authors: | Gan Jian-Chao and Xiao Xian-Ci |
| |
| 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. |
| |
| Keywords: | chaotic time series reconstructed vector nonlinear adaptive prediction the minimum square root error criterion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《物理学报》浏览原始摘要信息 |
|
点击此处可从《物理学报》下载免费的PDF全文 |
