【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更多还原

【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.更多还原