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To detect the mental task of interest, spatial filtering has been widely used to enhance the spatial resolution of electroencephalography (EEG). However, the effectiveness of spatial filtering is undermined due to the significant nonstationarity of EEG. Based on regularization, most of the conventional stationary spatial filter design methods address the nonstationarity at the cost of the interclass...
Discriminating EEG signals between different motor imagery states is an important application of brain computer interface (BCI). However, low signal-to-noise ratio and significant data variation of EEG make it very difficult for BCI to obtain reliable results. Spatial filtering is one of the most successful feature extraction methods, and many efforts have been made to construct spatial filters that...
Optimizing the system performance metric directly is an important method for correcting wave-front distortions in adaptive optics(AO) systems. Appropriate stochastic parallel optimization control algorithm is the key to correcting distorted wave front successfully. Based on several stochastic parallel optimization control algorithms, an adaptive optics system with a 32-element deformable mirror was...
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