引用本文:赖晓平，朱桂华，云昌钦.线性相位FIR数字滤波器设计的随机抽样递推最小二乘算法[J].控制理论与应用,1998,15(2):281~285.[点击复制]
LAI Xiaoping and ZHU Guihua，YUN Changqin.A Random Sampling Recursive Least-Squares Approach to the Design of Linear-Phase FIR Digital Filters[J].Control Theory & Applications,1998,15(2):281~285.[点击复制]
线性相位FIR数字滤波器设计的随机抽样递推最小二乘算法
A Random Sampling Recursive Least-Squares Approach to the Design of Linear-Phase FIR Digital Filters
摘要点击 1762  全文点击 680  投稿时间：1996-08-12  修订日期：1997-05-13
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DOI编号  
  1998,15(2):281-285
中文关键词  数字滤波器  系统辨识  递推最小二乘法
英文关键词  digital filter  system identification  recursive least-squares algorithm
基金项目  
作者单位
赖晓平，朱桂华，云昌钦  
中文摘要
      本文考虑了基于加权平方误差准则线性相位FIR数字滤波器的设计问题，提出一种随机抽样递推最小二乘（RS-RLS）设计方法。将设计问题看成一个线性系统的辨识问题，辨识参数所需的数据由一随机抽样法产生，辨识算法采用递推最小二乘法。RS-RLS设计法简单易用，设计范例说明这一方法具有很高的设计精度。
英文摘要
      This paper considers the design problem of linear-phase FIR digital filters with weighted least-squares error criterion and a random sampling recursive least-squares (RS-RLS) algorithm. The design problem is regarded as parameter estimation for a supposed linear system whose parnmeters are those of the filter to be designed. These parameters are estimated with recursive least-squares(RLS) algorithm. Input signals of the supposed system are generated with a random sampling (RS) method. The proposed RS-RLS algorithm is very simple and easy to use. A simulation example demonstrating the effectiveness of the proposed algorithm is provided.