LMS Algorithm Demonstration

By running the code provided you can demonstrate one process to identify an unknown FIR filter.

Version 1.3.0.0 (1,86 ko)
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10 août 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.

Citation pour cette source

Arsal Butt (2026). LMS Algorithm Demonstration (https://fr.mathworks.com/matlabcentral/fileexchange/28313-lms-algorithm-demonstration), MATLAB Central File Exchange. Extrait(e) le .

Remerciements

Inspiré par : LMS Algorithm Demo

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En savoir plus sur Adaptive Filters dans Help Center et MATLAB Answers

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
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Version Publié le Notes de version
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