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An adaptive noise canceller based on QLMS algorithm for removing EOG artifacts in EEG recordings
In this paper, a novel adaptive noise canceller (ANC) based on the quaternion valued least mean square algorithm (QLMS) is designed in order to remove electrooculography (EOG) artifacts from electroencephalography (EEG) ...
Automatic removal of ocular artefacts in EEG signal by using independent component analysis and artificial neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)
Ocular artefacts caused by eye movements can distort Electroencephalogram (EEG) recordings. It is important to obtain clean EEG signals in diagnosing and interpreting diseases. Meaningful EEG signals should not be distorted ...
Prediction of Complex-Valued Signals by Using Complex-Valued LMK Algorithm
In this study, the adaptive prediction of complex valued signals has been realized by using the complex-valued least mean Kurtosis (CLMK) algorithm. The prediction performance of the CLMK algorithm has been evaluated on ...