RLS Algorithm Demo

A system identification by the usage of the RLS algorithm.

Version 1.3.0.1 (47 KB)
29,5K Downloads
(31)
11. Jul 2020

Sie verfolgen jetzt diese Einreichung

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.

Zitieren als

Tamer Mellik (2026). RLS Algorithm Demo (https://de.mathworks.com/matlabcentral/fileexchange/1753-rls-algorithm-demo), MATLAB Central File Exchange. Abgerufen .

Kategorien

Mehr zu Linear Model Identification finden Sie in Help Center und MATLAB Answers

Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
In neuem Tab öffnen
Version Veröffentlicht Versionshinweise
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