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物理学报. 2003, 52(5): 1102-1107.
doi: 10.7498/aps.52.1102.
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
- 收稿日期: 2002-08-16
- 修回日期: 2002-09-28
- 刊出日期: 2003-05-20
English Abstract
Adaptive predict-filter of chaotic time series constructed Based on the neighbou rhood in the reconstructed phase space(Ⅱ)nonlinear adaptive filter
- Received Date:
16 August 2002
- Accepted Date:
28 September 2002
- Published Online:
20 May 2003
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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