Complex ICA-R

Abstract

The Complex Independent Component Analysis (CICA) which extends Independent Component Analysis (ICA) to complex signals has found applications in various fields. The ICA with Reference (ICA-R) has recently gained popularity in semi-blind separation of signals when a priori information of the desired sources are available in the form of reference signals. This paper extends the framework of ICA-R to complex signals and demonstrates the use of Complex ICA-R (CICA-R) with applications to both synthetic data and real speech data. Our experiments indicate that CICA-R is more effective than ICA, ICA-R, or CICA, in separation of complex signals when reference signals relating to source signals are available.