RLS Algorithm Demo

版本 1.3.0.1 (47.0 KB) 作者: Tamer Mellik
A system identification by the usage of the RLS algorithm.
4.3
(31)
29.3K 次下载
更新时间 2020/7/11

查看许可证

RLS is one of the greatest adaptive filter algorithms. In this file, an experiment is made to identify a linear noisy system with the help of the RLS algorithm. The weights of the estimated system are nearly identical to the real one.A reference is used to write the algorithm. The code was first uploaded in 2001.

引用格式

Tamer Mellik (2024). RLS Algorithm Demo (https://www.mathworks.com/matlabcentral/fileexchange/1753-rls-algorithm-demo), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2020a
兼容任何版本
平台兼容性
Windows macOS Linux
类别
在 Help Center 和 MATLAB Answers 中查找有关 Linear Model Identification 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

版本 已发布 发行说明
1.3.0.1

Codes were updated to run in MATLAB R2020a
1.3.0.0

Now compatible with R2020a
1.0.0.0

BSD license added
Version 1.1 :
1- Two different demos one with FIR ( Feedback is used) and the other with IIR ( the input signal only is used)
2- No dependency on "Control System Toolbox" by adding sample data files