Averaged SSVEP recognition accuracies derived by the CCA, PCCA
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SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features
Full article: P300 Detection with Brain–Computer Interface Application Using PCA and Ensemble of Weighted SVMs
Fractal based feature extraction technique for classifying EEG signal for color visualization tasks - IOS Press
A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients - ScienceDirect
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Multivariate empirical mode decomposition Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity
Linear Diophantine equation (LDE) decoder: A training‐free decoding algorithm for multifrequency SSVEP with reduced computation cost - Mu - 2023 - Asian Journal of Control - Wiley Online Library
SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review. - Abstract - Europe PMC
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
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