Z-score linear discriminant analysis for EEG based brain-computer interfaces.

Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not usually held in actual BCI applications...

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Auteurs principaux: Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang, Peiyang Li, Dezhong Yao
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2013
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Accès en ligne:https://doaj.org/article/e72d4fc0ff894a55812c19a15fc275c6
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