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This script file provides a BER comparison with and without RLS filter for a given random binary input data. You can change the sampling rates or matrix dimensions.
Cite As
Onur Oguz (2026). RLS Algorithm & BER Comparison for 16-QAM Modulation in AWGN Channel (https://www.mathworks.com/matlabcentral/fileexchange/61025-rls-algorithm-ber-comparison-for-16-qam-modulation-in-awgn-channel), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: RLS Algorithm Demo, Recursive Least Square Identification with Noise, Recursive Least Squares Filter, Adaptive Filter, RLS Algorithm Implementation, 16QAM
General Information
- Version 1.0.0.0 (2.42 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
