Jorge Igual, Luis Vergara
email: email@example.com; firstname.lastname@example.org
In BSSICA few assumptions are considered. With
respect to the mixing matrix usually nothing is
supposed. We present in this paper an extension of the
BSSICA problem: when we have a prior statistical
information about the elements of the mixing matrix.
We will model this information with a matrix of
probability density functions (pdf) and we will analyze
how traditional and new solutions to BSSICA problem
can be adjusted to the new problem.