【摘要】 该文把Asharif(1999)定义的相关函数均方误差(MSE)准则Jr(n)=E eT(n)Ce(n)]改为时变的遗忘因子指数加权最小二乘误差(LSS)准则Jr(n)= ,对这一准则利用梯度法,使当前时刻的梯度向量正交于前一时刻的梯度向量而得到一种新的相关函数自适应滤波算法。计算机仿真结果表明新算法的收敛性能优于Asharif提出的ECLMS算法。更多还原

【Abstract】 In this paper, the time varying forgetting factor exponentially weighted least square error criterion is proposed by reducing the correlation function mean square error criterion proposed by Asharif(1999). Applying gradient method on the proposed criterion, a new adaptive filtering algorithm for correlation function is proposed by orthogonalizing the current gradient vector to the previous gradient vector. Computer simulation results indicate that the proposed algorithm’s convergence performance is better than that of ECLMS algorithm proposed by Asharif.更多还原