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LMS与RLS自适应滤波算法对比研究
引用本文:郑田娟.LMS与RLS自适应滤波算法对比研究[J].科技广场,2012(3):20-23.
作者姓名:郑田娟
作者单位:应天职业技术学院,江苏南京,210046
摘    要:自适应滤波算法根据采用优化准则的不同,通常分为两类最基本算法:最小均方误差(LMS)类算法和递归最小二乘(RLS)类算法。本文重点介绍了最小均方误差算法和递归最小二乘算法,并将这两类算法在MATLAB上进行仿真,并对结果作出比较和分析。

关 键 词:LMS  RLS  MATLAB

Comparative Study of LMS and RLS Adaptive Algorithms
Zheng Tianjuan.Comparative Study of LMS and RLS Adaptive Algorithms[J].Science Mosaic,2012(3):20-23.
Authors:Zheng Tianjuan
Institution:Zheng Tianjuan(Yingtian Technical College,Jiangsu Nanjing 210046)
Abstract:Adaptive filtering algorithm is usually divided into two categories according to different optimization criteria of the basic algorithm:class algorithm of the minimum mean square error(LMS) and class of algorithms and recursive least squares(RLS).This article focuses on the minimum mean square error algorithm and recursive least squares algorithm,and simulates these two types of algorithms in MATLAB,and makes comparison and analysis on the results.
Keywords:LMS  RLS  MATLAB
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