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This is a comparison of system identification using LMS, NLMS & LMF algorithm.
The important parameters to change are
nBits = 3000; %Number of Bits
chan = [.3 .9 .3]; %Channel
L = 3; %Filter Length
%step sizes
mu_lms = 0.003; %LMS
mu_lmf = 0.3; %LMF
mu_nlms = 0.03; %NLMS
Cite As
themaze (2026). System Identification Comparison (https://www.mathworks.com/matlabcentral/fileexchange/12921-system-identification-comparison), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (759 Bytes)
-
No License
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Corrections in code and Plot |
