General signal processing and machine learning tools for BCI
This chapter discusses signal processing and machine learning techniques and their application to brain-computer interfacing. A broader overview of the general signal processing and classiﬁcation methods as used in single-trial EEG analysis is given. For more specialized algorithms, the reader is referred to the original publications. Furthermore, validation techniques and robustiﬁcation are discussed brieﬂy.