Brother-Five/spare-beyesian

Brain Computer Interface(BCI) data is transformed and banked by BCI from human brain action to.Sparse Bayesian learning is a machine learning method.Its high efficiency of calculation meets the requirement of the analysis of the Brain Computer Interface Data.Here we use Sparse Bayesian linear Discriminant Analysis(SBDA) and its variant as models to classify the electroencephalogram (EEG) tested in P300 dataset from the BCI competition 2004.Through a series of pre-process including bandpass filte