Averaged SSVEP recognition accuracies derived by the CCA, PCCA
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Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Frontiers Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity
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Cross-subject fusion based on time-weighting canonical correlation analysis in SSVEP-BCIs - ScienceDirect
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Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs - IOPscience
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Comparison of EEG signal preprocessing methods for SSVEP recognition
Comparison of EEG signal preprocessing methods for SSVEP recognition
Brain Sciences, Free Full-Text
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
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
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