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Brain electrical signal pretreatment technology
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Application background s of today, the scripts for TFR computations and signal generations
are expected to be fully compatible with GNU Octave, but the user has
to write a few lines of codes to produce the time-frequency plots. Key Technology Under the assumption that the features in each class are generated from
Gaussian distributions with the same known covariance but different means
it can be shown (Duda et al, 2000) that LDA is optimal, in that it minimises
the misclassification rate. As shown in Blankertz et al (2011) the assumption
of a common class covariance with different means is well met for EEG ERP
classification problems.
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