Averaged SSVEP recognition accuracies derived by the CCA, PCCA
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A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients - ScienceDirect
A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials
SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA and
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review. - Abstract - Europe PMC
High-speed spelling with a noninvasive brain–computer interface
Full article: Brain Computer Interface Based Thought Recognition System Using a Hybrid Deep Learning Model
Multi-information improves the performance of CCA-based SSVEP classification
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity
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