MULTISTAGE ADAPTIVE HIGHER-ORDER NONLINEAR FINITE IMPULSE RESPONSE FILTERS FOR CHAOTIC TIME SERIES PREDICTIONS

• 来源期刊: 中国物理（英文版）
• 学科: 物理学
• 关键词: chaotic time series adaptive higher-order nonlinear finite impulse response filters
• 年，卷（期）: 2001,（5）
• 页码范围: 390-394
• 页数: 5页
• 分类号: O4
• 语种: 英文

摘要

A multistage adaptive higher-order nonlinear finite impulse response (MAHONFIR) filter is proposed to predict chaotic time series. Using this approach, we may readily derive the decoupled parallel algorithm for the adaptation of the coefficients of the MAHONFIR filter, to guarantee a more rapid convergence of the adaptive weights to their optimal values. Numerical simulation results show that the MAHONFIR filters proposed here illustrate a very good performance for making an adaptive prediction of chaotic time series.