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考虑了对称系数及反对称系数的ＦＩＲ数字滤波器的设计问题，将这个设计问题看成一个线性系统的辨识问题，辨识系统参数所需的输入数据由一随机抽样法产生，辨识算法采用递推最小二乘法．按随机抽样法产生的数据保证了被辨识参数的收敛性，实现了最小加权平方误差准则．最后给出了几个设计范例．
Considering the design of FIR digital filter with symmetric coefficient and antisymmetric coefficient, this design problem is considered as a linear system identification problem. The input data needed to identify system parameters is generated by a random sampling method. The identification algorithm uses recursion Least squares method. The data generated by the random sampling method ensures the convergence of the identified parameters and realizes the minimum weighted square error criterion. Finally, several design examples are given.