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Median-based clustering for underdetermined blind signal processing

Theis, Fabian J. and Puntonet, Carlos G. and Lang, Elmar (2006) Median-based clustering for underdetermined blind signal processing. IEEE signal processing letters 13 (2), pp. 96-99.

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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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Item Type:Article
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
10.1109/LSP.2005.861590 DOI
Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Deposited On:12 Oct 2010 09:27
Last Modified:12 Oct 2010 09:27
Item ID:16974
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