1. A method of facilitating blind source separation in convolutive independent component analysis, said method comprising the steps of: initializing at least one parameter; obtaining a set comprising at least one observation; computing the likelihood of the at least one observation and of an auxiliary function; maximizing the auxiliary function, and ascertaining whether the likelihood of the at least one observation converges.