Tensor Diagonalization, A useful Tool in Signal Processing

Pierre Comon (1)

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SIGNAL

Tensors appear more and more often in signal processing problems, and especially spatial processing, which typically involves multichannel modeling. Even if it is not always obvious that tensor algebra is the best framework to address a problem, there are cases where no choice is left. Blind identification of multichannel non monic MA models is given as an illustrating example of this claim.

Mots clés: tensor; orthogonal decomposition; independent component analysis; High-Order Statistics; Blind Identification; Non monic MA model; Array processing; Statistical independence; Information; Parallel algorithms

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Pierre Comon. Tensor Diagonalization, A useful Tool in Signal Processing. 10th IFAC Symposium on System Identification (IFAC-SYSID), Jul 1994, Copenhagen, Denmark. pp.77-82. ⟨hal-00561523⟩