Optimizing ICA using generic knowledge of the sources
Giancarlo Valente, Federico De Martino, Marco Balsi, Elia Formisano · Research in Microelectronics and Electronics, 2005 PhD · 2005
In this work we introduce a new ICA algorithm, designed to take available prior information on the sources into account. This prior information is included in the form of a 'weak' constraint and is exploited simultaneously with independence in order to separate the sources. This new algorithm outperforms classical ICA algorithms in the case of low SNR. Furthermore, inclusion of additional information about the sources may help enforcing the ordering of the extracted components according to their significance.