Now showing items 1-6 of 6
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) ...
An augmented complex-valued Lyapunov stability theory based adaptive filter algorithm
A novel augmented complex-valued Lyapunov stability theory (LST) based adaptive filter (ACLAF) algorithm is proposed for the widely linear adaptive filtering of noncircular complex-valued signals. After a candidate Lyapunov ...
A generalized Lyapunov stability theory-based adaptive FIR filter algorithm with variable step sizes
(Springer London Ltd, 2017)
This paper presents a novel approach to Lyapunov stability theory-based adaptive filter (LAF) design. The proposed design is based on the minimization of the Euclidean norm of the difference weight vector under negative ...
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 ...
A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis
(Pergamon-Elsevier Science Ltd, 2017)
ElectroEncephaloGram (EEG) gives information about the electrical characteristics of the brain. EEG can be used for various applications, such as diagnosis of diseases, neuroscience and Brain Computer Interface (BCI). ...
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 ...