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Median-based clustering for underdetermined blind signal processing

Theis, Fabian J. ; Puntonet, Carlos G. ; Lang, Elmar


In underdetermined blind source separation, more sources are to be extracted from less observed mixtures without knowing both sources and mixing matrix. k-means-style clustering algorithms are commonly used to do this algorithmically given sufficiently sparse sources, but in any case other than deterministic sources, this lacks theoretical justification. After establishing that mean-based ...


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