MULTISTAGE ADAPTIVE HIGHER-ORDER NONLINEAR FINITE IMPULSE RESPONSE FILTERS FOR CHAOTIC TIME SERIES PREDICTIONS |
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| Authors: | Zhang Jia-shu and Xiao Xian-ci |
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| Affiliation: | Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China |
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| Abstract: | 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. |
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| Keywords: | chaotic time series adaptive higher-order nonlinear finite impulse response filters |
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