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General signal processing and machine learning tools for BCI AbstractThis 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.
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