Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

By incorporating the fundamental and harmonic SSVEP components in target identification, the proposed FBCCA method significantly improves the performance of the SSVEP-based BCI, and thereby facilitates its practical applications such as high-speed spelling.