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中文摘要：
提出了基于递推最小二乘（RLS）的自回归滑动平均模型的两阶段辨识方法。仿真结果表明,方法给出的参数估计精度比递推增广最小二乘算法高。
英文摘要：
A RLS based two-stage identification method is presented for ARMA models.The simulation results indicate that the proposed algorithm can give higher parameter estimation accuracy that the recursive extended least square algorithm.
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