LMS Algorithm Demonstration

Version 1.3.0.0 (1.86 KB) by Arsal Butt
By running the code provided you can demonstrate one process to identify an unknown FIR filter.
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Updated 10 Aug 2010

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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 (2024). LMS Algorithm Demonstration (https://www.mathworks.com/matlabcentral/fileexchange/28313-lms-algorithm-demonstration), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: LMS Algorithm Demo

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Version Published Release Notes
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