Neural networks for blind separation with unknown number of sources

DOI10.1016/S0925-2312(98)00091-5zbMath0922.68137OpenAlexW2099007602WikidataQ60486994 ScholiaQ60486994MaRDI QIDQ1286506

Ricardo Vigário, Andrzej Cichocki, Wlodizimierz Kasprzak, Juha Karhunen

Publication date: 3 May 1999

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(98)00091-5

zbMATH Keywords

blind source separationneural learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Related Items (4)

Compressed blind signal reconstruction model and algorithm ⋮ Adaptive Blind Separation with an Unknown Number of Sources ⋮ A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold ⋮ A Generalized Contrast Function and Stability Analysis for Overdetermined Blind Separation of Instantaneous Mixtures

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