A delay sub-space decomposition algorithm of electroencephalography sources localization

We present a new EEG inverse algorithm utilized for extracting multi-sources in EEGs. It is based on multiple signal classification (MUSIC). A delay-correlation matrix instead of the previous zero-delay-correlation matrix is introduced to conduct the signal-sub-space estimate in the MUSIC algorithm to get a better performance when coping with spatially coherent noise disturbances. The effectiveness of the delay MUSIC (DM) is confirmed by the final promising results of a simulation test.