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A multi-variate blind source separation algorithm

Goldhacker, M. ; Keck, P. ; Igel, A. ; Lang, E. W. ; Tomé, A. M.


Background and objective: The study follows the proposal of decomposing a given data matrix into a product of independent spatial and temporal component matrices. A multi-variate decomposition approach is presented, based on an approximate diagonalization of a set of matrices computed using a latent space representation. Methods: The proposed methodology follows an algebraic approach, which is ...


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