Tensor Diagonalization, A Useful Tool in Signal Processing
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TL;DR
Tensors appear more and more often in signal processing problems, and especially spatial processing, which typically involves multichannel modeling, and it is not always obvious that tensor algebra is the best framework to address a problem.
Abstract
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.
