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An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control
IEEE Transactions on Neural Networks and Learning Systems, 2022This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI) system. By combining the advantages of multivariate variational mode decomposition (MVMD) and canonical correlation analysis (CCA), an MVMD-CCA algorithm is investigated to improve the detection ability of SSVEP
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