Application to SSVEP of chirp stimulus using non-harmonic analysis

Recently, brain-computer interface has been applied to many fields such as steady-state visual evoked potential (SSVEP). However, in the conventional method, the frequency resolution is low due to the dependence of the short-time Fourier transform on the analysis window length. Therefore, it is not possible to analyze a non-integer multiple signal, as a side-lobe will occur. We verified the precision of non-harmonics analysis, and proposed and attempted to analyze the change and stimulus of SSVEP. We found the frequency resolution to be improved exponentially.