dcaro_WAAF
Wavelet-Assisted Adaptative Filter to remove Ocular Artifacts from EEG signals. Computationally efficient for Real-Time applications.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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.
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.
Cite As
Diego Caro (2026). dcaro_WAAF (https://se.mathworks.com/matlabcentral/fileexchange/182384-dcaro_waaf), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.4 (2.72 KB)
MATLAB Release Compatibility
- Compatible with R2023a and later releases
Platform Compatibility
- Windows
- macOS
- Linux
