Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
IEEE Transactions on Signal Processing
SIAM Journal on Matrix Analysis and Applications
Block component analysis, a new concept for blind source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
On revealing replicating structures in multiway data: a novel tensor decomposition approach
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
A combination of parallel factor and independent component analysis
Signal Processing
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications
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In this paper we study a generalization of Kruskal's permutation lemma to partitioned matrices. We define the k'-rank of partitioned matrices as a generalization of the k-rank of matrices. We derive a lower-bound on the k'-rank of Khatri-Rao products of partitioned matrices. We prove that Khatri-Rao products of partitioned matrices are generically full column rank.