dcaro_WAAF

Version 1.0.4 (2,72 KB) von Diego Caro
Wavelet-Assisted Adaptative Filter to remove Ocular Artifacts from EEG signals. Computationally efficient for Real-Time applications.
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Aktualisiert 18. Nov 2025

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dcaro_WAAF: Wavelet-Assisted Adaptative Filter.
This function removes Ocular Artifacts from EEG signals by creating a reference signal that contains only these artifacts using a soft treshold in low frequency levels of a wavelet decomposition. This reference signal is removed from the original EEG through an Adaptative Noise Cancelling algorithm based on Recursive Least Squares.
This function requires the Wavelet Toolbox.
Original paper:
Peng, H., Hu, B., Shi, Q., Ratcliffe, M., Zhao, Q., Qi, Y., & Gao, G. (2013). Removal of ocular artifacts in EEG—An improved approachcombining DWT and ANC for portable applications. IEEE journal of biomedical and health informatics, 17(3), 600-607.
Soft treshold value obtained from:
Coifman, R. R., & Donoho, D. L. (1995). Translation-invariant de-noising. In Wavelets and statistics (pp. 125-150). New York, NY: Springer New York.

Zitieren als

Diego Caro (2026). dcaro_WAAF (https://de.mathworks.com/matlabcentral/fileexchange/182384-dcaro_waaf), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2023a
Kompatibel mit R2023a und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Version Veröffentlicht Versionshinweise
1.0.4

Updated image.

1.0.3

Simplified a for loop, no major changes.

1.0.2

Added weights returned by RLS to output arguments.
1.0.1

Fixed gain equation.
1.0.0