Title :
ICAR: independent component analysis using redundancies
Author :
Albera, Laurent ; Ferreol, Anne ; Chevalier, Pascal ; Comon, Pierre
Author_Institution :
I3S, Sophia-Antipolis, France
Abstract :
A new blind source separation (BSS) algorithm, called ICAR and using only fourth order (FO) statistics of the data is proposed. The latter method is compared by computer experiments with the well-known methods COM1, COM2, JADE, FastICA, and SOBI. Since ICAR has given very good convergence results and has performed the source separation in the presence of the Gaussian noise with unknown spatial correlation, it appears as being one of the most attracting BSS algorithms.
Keywords :
Gaussian noise; blind source separation; independent component analysis; redundancy; COM1; COM2; FastICA; Gaussian noise; ICAR; JADE; SOBI; blind source separation; fourth order data statistics; independent component analysis; redundancies; spatial correlation; Biosensors; Blind source separation; Decorrelation; Gaussian noise; Higher order statistics; Independent component analysis; Principal component analysis; Sensor arrays; Source separation; Statistical analysis;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1329897
