dcaro_WAAF

Version 1.0.2 (2,75 ko) par Diego Caro
Wavelet-Assisted Adaptative Filter to remove Ocular Artifacts from EEG signals. Computationally efficient for Real-Time applications.
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Mise à jour 24 oct. 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.

Citation pour cette source

Diego Caro (2025). dcaro_WAAF (https://fr.mathworks.com/matlabcentral/fileexchange/182384-dcaro_waaf), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2023a
Compatible avec les versions R2023a et ultérieures
Plateformes compatibles
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Version Publié le Notes de version
1.0.2

Added weights returned by RLS to output arguments.
1.0.1

Fixed gain equation.
1.0.0