A new method for blind source separation
Ling-Ye Nie, Lei Li, Jia-Ming Chen · 2008
A method of network component analysis(NCA) which separates blind sources using a priori information on the mixing matrix was put forward. Therefore blind source separation can be achieved without the assumption of statistical independence. Performance analysis is given comparing to FastICA and JADE through computer simulation. The superiority of NCA is validated without the assumption of statistical independence.