LMS Algorithm Demonstration
By running the code provided you can demonstrate one process to identify an unknown FIR filter.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
LMS filters in an adaptive filter architecture is a time honored means for identifying an unknown filter. By running the example code provided you can demonstrate one process to identify an unknown FIR filter.
Cite As
Arsal Butt (2026). LMS Algorithm Demonstration (https://www.mathworks.com/matlabcentral/fileexchange/28313-lms-algorithm-demonstration), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: LMS Algorithm Demo
General Information
- Version 1.3.0.0 (1.86 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3.0.0 | Instead of running the same constant valued program, this version is more Interactive, It will ask you to enter the number of the filter weights as well as the number of iterations that you would like to run. |
||
| 1.2.0.0 | the non-useful code has been removed from the previous version. |
||
| 1.1.0.0 | Some non-useful statements from the previous version has been removed. |
||
| 1.0.0.0 |
