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 and Technology,1998,15(2):281~285.[点击复制] |
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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 1183 全文点击 509 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 |
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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. |