Otto Debals — accepted AI-conference papers

2016

Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition

Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer

ICASSP 2016accepted

Coupled decompositions of multiple tensors are fundamental tools for multi-set data fusion. In this paper, we introduce a coupled version of the rank-(L <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</inf> , L <inf xmlns:mml="http://www.w3.org/1998/M…

Cited by 0 Source ↗Scholar ↗

2015

Blind signal separation of rational functions using Löwner-based tensorization

Otto Debals, Marc Van Barel, Lieven De Lathauwer

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…

Cited by 0 Source ↗Scholar ↗