RLS Algorithm Demo
Updated 11 Jul 2020
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.
Tamer Mellik (2023). RLS Algorithm Demo (https://www.mathworks.com/matlabcentral/fileexchange/1753-rls-algorithm-demo), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired: RLS Algorithm & BER Comparison for 16-QAM Modulation in AWGN Channel, NLMS Algorithm Demo, Recursive Least Square Identification without Noise
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Codes were updated to run in MATLAB R2020a
Now compatible with R2020a
BSD license added