ABSTRACT
Blind Source Separation (BSS) as an effective signal processing technology has been widely used in the fields of remote sense, biomedical signal processing, digital communication, etc.
The Mathematical model of BSS is generally expressed as:
where Y = (Y1, Y2, . . . , Ym)T is the mixed signal matrix observed, S = (S1, S2, . . . , STn) is source matrix, A = (A1, A2, . . . , Am)n is mixture matrix, N = (N1, N2, . . . , Nm)T is the errors of signal channel and noise.
