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论文类型：会议论文

发表时间：2014-07-28

收录刊物：EI、CPCI-S、Scopus

页面范围：6786-6791

关键字：Multi-Channel Wiener System; Semiparametric Estimation; Recursive Identification; Stochastic Approximation; Kernel Estimation

摘要：Recursive identification for semiparametric multi-channel Wiener systems is considered in the paper. Based on stochastic approximation, the recursive estimates are given for coefficients of each linear subsystem and the weighed coefficient with the help of the average derivative approach, then recursive nonparametric estimate is derived for the system nonlinearity by using kernel method. All estimates are recursive and are proved to be strongly consistent under reasonable conditions.