A least-squares approach to joint-diagonalization of tensor with application to source separation
Éric Moreau, Christophe De Luigi · 2003
In this paper, we consider the problem of the joint-diagonalization of square tensors through a least-squares approach. This allows us to show that recent joint-diagonalization criteria used in source separation can be seen based on a least-squares criterion, thus showing their optimality. A gradient algorithm is also proposed and a computer simulation illustrate the algorithm.