Tensor CP Decomposition With Structured Factor Matrices: Algorithms and Performance
Tensor CP Decomposition With Structured Factor Matrices: Algorithms and Performance
The canonical polyadic decomposition (CPD) of high-order tensors, also known as Candecomp/Parafac, is very useful for representing and analyzing multidimensional data. This paper considers a CPD model having structured matrix factors, as e.g. Toeplitz, Hankel or circulant matrices, and studies its associated estimation problem. This model arises in signal processing …