Decomposing tensors with structured matrix factors reduces to rank-1 approximations
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[1] Gérard Favier,et al. Non-iterative solution for PARAFAC with a Toeplitz matrix factor , 2009, 2009 17th European Signal Processing Conference.
[2] Lieven De Lathauwer,et al. A Block Component Model-Based Blind DS-CDMA Receiver , 2008, IEEE Transactions on Signal Processing.
[3] P. Comon,et al. Tensor decompositions, alternating least squares and other tales , 2009 .
[4] Nikos D. Sidiropoulos,et al. Parallel factor analysis in sensor array processing , 2000, IEEE Trans. Signal Process..
[5] P. Comon,et al. Symmetric tensor decomposition , 2009, 2009 17th European Signal Processing Conference.
[6] André Lima Férrer de Almeida,et al. PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization , 2007, Signal Process..
[7] J. Berge,et al. The typical rank of tall three-way arrays , 2000 .
[8] Nikos D. Sidiropoulos,et al. Blind PARAFAC receivers for DS-CDMA systems , 2000, IEEE Trans. Signal Process..
[9] Pierre Comon,et al. Decomposition of quantics in sums of powers of linear forms , 1996, Signal Process..