2015
Blind signal separation of rational functions using Löwner-based tensorization
ICASSP 2015accepted
A novel deterministic blind signal separation technique for separating signals into rational functions is proposed, applicable in various situations. This new technique is based on a tensorization of the observed data matrix into a set of Löwner matrices. The obtained tensor can then be decomposed w…