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Principles and Applications of Brain-Computer Interfaces
Typical Solution: Introduce additional mapping (called “feature extraction”) from raw signal segments onto feature vectors which extracts the key features of a raw observations. ! output is usually of lower dimensionality ! hopefully statistically “better” distributed (easier to handle for machine learning).
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