A Training Data-Driven Canonical Correlation Analysis Algorithm for Designing Spatial Filters to Enhance Performance of SSVEP-Based BCIsOpen Website

Published: 2020, Last Modified: 15 May 2023Int. J. Neural Syst. 2020Readers: Everyone
Abstract: Canonical correlation analysis (CCA) is an effective spatial filtering algorithm widely used in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). In existing CCA ...
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