The geometry of this manifold is developed and a trust-region-based algorithm for non-orthogonal joint diagonalization is proposed.

Jan 24, 2006 · The problem of independent component analysis (ICA) or blind source separation (BSS) is to identify the mixing matrix A or recover the ...

Finally, we point out that most algorithms for ICA do not achieve superlinear convergence, as they are based on steepest-descent or direct-search ideas.

Finally, we point out that most algorithms for ICA do not achieve superlinear convergence, as they are based on steepest-descent or direct-search ideas.

It is shown how this indeterminacy can be taken into account by restricting the separating matrix to the oblique manifold by computing the congruence ...

In [30] the authors propose oblique manifold (set of matrices with unit column norm) for solving blind source separation or independent components analysis ...

Document type, Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection. Publication date, 2006. Language, Anglais.

Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few ...

Oct 23, 2019 · Abstract. We consider the classical problem of approximate joint diagonalization of matrices, which can be cast as an optimization problem ...

Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few ...