首页> 外文会议>Fifth International Conference on Electronic Measurement amp; Instruments (ICEMI'2001) Vol.1 Nov 18-21, 2001 Guilin, China >Nonlinear Adaptive Prediction of Chaotic Time Series With An Adaptive Sine-Volterra Predictive Filter
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Nonlinear Adaptive Prediction of Chaotic Time Series With An Adaptive Sine-Volterra Predictive Filter

机译:自适应正弦-Volterra预测滤波器的混沌时间序列非线性自适应预测

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摘要

A new approach to nonlinear adaptive prediction of chaotic time series is presented by means of an adaptive sine-Volterra predictive filter based on the deterministic and nonlinear characteristics of chaotic time series. The named adaptive sine-Volterra predictive filter introduces sine function to approximate the Volterra filter based on linearization decomposition. Numerical simulation results show that the nonlinear adaptive filter proposed here has good performance for making adaptive prediction of chaotic time series.
机译:提出了一种基于混沌时间序列确定性和非线性特征的自适应正弦-Volterra预测滤波器,用于混沌时间序列的非线性自适应预测。命名的自适应正弦-Volterra预测滤波器引入了正弦函数,可基于线性化分解对Volterra滤波器进行近似。数值仿真结果表明,本文提出的非线性自适应滤波器对于混沌时间序列的自适应预测具有良好的性能。

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