How to localize the neural active source areas effectively and precisely from the scalp EEG recordings is a critical issue for clinical neurology and cognitive neuroscience.In this paper
based on the sparsity assumption of brain activities
proposed is a novel iterative EEG source imaging algorithm
which is a modified FOCUSS iteration procedure combined with
l
p
norm sparse constraints.In this algorithm
the sparse constraint of solution
l
p
norm
is integrated into the modified iterative procedure of FOCUSS
and it is the renewed weight subjected to the
l
p
norm constraints that forces the solution to converge to the active sparse source position effectively.The conducted simulation studies for a random underdetermined sy
stem
a 3-shell sphere model and a realistic head model all showed its validation for solving of underdetermined system and EEG source imaging.