Title :
A new method for blind source separation
Author :
Nie, Ling-ye ; Li, Clei ; Chen, Cjia-ming
Author_Institution :
Inst. of Autom. Control Eng. of NanJing, Univ. of Posts & Telecommun., Nanjing
Abstract :
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.
Keywords :
blind source separation; independent component analysis; matrix algebra; FastICA; JADE; blind source separation; computer simulation; mixing matrix; network component analysis; performance analysis; statistical independence; Biomedical signal processing; Blind source separation; Higher order statistics; Independent component analysis; Machine learning; Pattern analysis; Signal analysis; Signal processing; Signal processing algorithms; Vectors; Blind Source Separation(BSS); Independent Component Analysis(ICA); Network Component Analysis(NCA);
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620774
