T. Adal?, D. Lahat, and C. Jutten, Data fusion: Benefits of fully exploiting diversity, 2016.

M. Artin, . Algebra, P. Pearson, and . Hall, , 2011.

R. A. Brualdi and H. J. Ryser, Combinatorial Matrix Theory, Encyclopedia of Mathematics and its Applications, 1991.

J. Cardoso, Multidimensional independent component analysis, Proc. ICASSP, vol.4, pp.1941-1944, 1998.

A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing, 2002.

P. Comon, Independent component analysis, Signal Process, vol.36, pp.287-314, 1994.
URL : https://hal.archives-ouvertes.fr/hal-00346684

P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent Component Analysis and Applications, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00460653

L. D. Lathauwer, Decompositions of a higher-order tensor in block terms. Part II: Definitions and uniqueness, SIAM J. Matrix Anal. Appl, vol.30, pp.1033-1066, 2008.

H. W. Gutch, T. Maehara, and F. J. Theis, Second order subspace analysis and simple decompositions, Latent Variable Analysis and Signal Separation, vol.6365, pp.370-377, 2010.

A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis, 2001.

T. Kim, T. Eltoft, and T. Lee, Independent vector analysis: An extension of ICA to multivariate components, Independent Component Analysis and Blind Signal Separation, vol.3889, pp.165-172, 2006.

D. Lahat, A data fusion perspective on source separation. Talk presented at the Hausdorff School: Low-rank Tensor Techniques in Numerical Analysis and Optimization, 2016.

D. Lahat, T. Adal?, and C. Jutten, Multimodal data fusion: An overview of methods, challenges and prospects, Proc. IEEE, pp.1449-1477, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01179853

D. Lahat, J. Cardoso, and H. Messer, Identifiability of second-order multidimensional ICA, Proc. EUSIPCO, pp.1875-1879, 2012.

D. Lahat and C. Jutten, Joint blind source separation of multidimensional components: Model and algorithm, Proc. EUSIPCO, pp.1417-1421, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01062354

D. Lahat and C. Jutten, A generalization to Schur's lemma with an application to joint independent subspace analysis, 2015.

D. Lahat and C. Jutten, On the uniqueness of coupled matrix block diagonalization in the joint analysis of multiple datasets (talk), 2015.

D. Lahat and C. Jutten, Joint independent subspace analysis using second-order statistics, IEEE Trans. Signal Process, vol.64, pp.4891-4904, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01132297

D. Lahat and C. Jutten, Joint independent subspace analysis by coupled block decomposition: Non-identifiable cases, Proc. ICASSP, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01884799

D. Lahat and C. Jutten, Joint independent subspace analysis: Uniqueness and identifiability, IEEE Trans. Signal Process, vol.67, pp.684-699, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01911746

T. Maehara and K. Murota, Algorithm for error-controlled simultaneous blockdiagonalization of matrices, Bunkyo-Ku, pp.113-8656, 2009.

K. Murota, Y. Kanno, M. Kojima, and S. Kojima, A numerical algorithm for block-diagonal decomposition of matrix *-algebras with application to semidefinite programming, Japan J. Indust. Appl. Math, vol.27, pp.125-160, 2010.

I. Schur, Neue Begründung der Theorie der Gruppencharaktere, Sitzungsberichte der Königlich-Preussischen Akademie der Wissenschaften zu Berlin, pp.406-432, 1905.

R. F. Silva, S. Plis, T. Adal?, and V. D. Calhoun, Multidataset independent subspace analysis extends independent vector analysis, Proc. ICIP, pp.2864-2868, 2014.

J. J. Sylvester, Sur l'équation en matrices px = xq, Comptes rendus Acad. Sci, vol.99, pp.67-71, 1884.