Blind Source Separation applied to EEG signals
Briefly, this FIRST Project is carried out by John Lee.
The aim is to apply Blind Source Separation techniques (BSS)
like Independant Component Analysis (ICA) to EEG signals.
We are working with all existing algorithms for linear instantaneous mixtures:
Maximum Likelihood (ML), Mutual Information (MI), High Order Statistics (HOS) and Joint Diagonalization.
We are also studying Multi-Channel Blind Deconvolution (MCBD, convolutive mixtures).