R. Bro and . Parafac, Tutorial and applications. Chemometrics and Intelligent Laboratory Systems, pp.149-171, 1997.

R. Bro, N. D. Sidiropoulos, and G. B. Giannakis, A fast least squares algorithm for separating trilinear mixtures, ICA99 - Int. Workshop on Independent Component Analysis and Blind Separation, 1999.

A. L. De-almeida, G. Favier, and J. C. Mota, PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization, Signal Processing, vol.87, issue.2, pp.337-351, 2007.
DOI : 10.1016/j.sigpro.2005.12.014

URL : https://hal.archives-ouvertes.fr/hal-00417636

C. E. Fernandes, G. Favier, and J. C. Mota, PARAFACbased blind identification of convolutive MIMO linear systems, Proc. of 15th IFAC Symposium on System Identification (SYSID), 2009.

R. A. Harshman, Foundations of the PARAFAC procedure: Models and conditions for an explanatory multimodal factor analysis, UCLA Working Papers in Phonetics, vol.16, pp.1-84, 1970.

A. Y. Kibangou and G. Favier, Non-iterative solution for PARAFAC with a Toeplitz matrix factor, 17th European Signal Processing Conference, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00397808

L. , D. Lathauwer, and J. Castaing, Blind identification of underdetermined mixtures by simultaneous matrix diagonalization, IEEE Transactions on Signal Processing, vol.56, pp.1096-1105, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00676353

N. Li, S. Kindermann, and C. Navasca, Some convergence results on the Regularized Alternating Least-Squares method for tensor decomposition, Linear Algebra and its Applications, vol.438, issue.2, pp.796-812, 2013.
DOI : 10.1016/j.laa.2011.12.002

I. V. Oseledets, Tensor-Train Decomposition, SIAM Journal on Scientific Computing, vol.33, issue.5, pp.2295-2317, 2011.
DOI : 10.1137/090752286

N. Petrochilos and P. Comon, Link between the joint diagonalisation of symmetrical cubes and PARAFAC: An application to secondary surveillance radar, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01693645

F. Roemer and M. Haardt, A closed-form solution for Parallel Factor (PARAFAC) Analysis, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008.
DOI : 10.1109/ICASSP.2008.4518122

N. D. Sidiropoulos, G. B. Giannakis, and R. Bro, Blind PARAFAC receivers for DS-CDMA systems, IEEE Transactions on Signal Processing, vol.48, issue.3, pp.810-823, 2000.
DOI : 10.1109/78.824675

M. Sørensen and L. De-lathauwer, Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-$(L_r,n,L_r,n,1)$ Terms---Part I: Uniqueness, SIAM Journal on Matrix Analysis and Applications, vol.36, issue.2, pp.496-522, 2015.
DOI : 10.1137/140956853

M. Sørensen and L. De-lathauwer, New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors, SIAM Journal on Matrix Analysis and Applications, vol.36, issue.4, pp.1381-1403, 2015.
DOI : 10.1137/140964813

N. Vervliet, O. Debals, L. Sorber, and L. De-lathauwer, Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis, IEEE Signal Processing Magazine, vol.31, issue.5, pp.71-79, 2014.
DOI : 10.1109/MSP.2014.2329429

A. Yeredor, Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation, IEEE Transactions on Signal Processing, vol.50, issue.7, pp.1545-1553, 2002.
DOI : 10.1109/TSP.2002.1011195