Go to content
UR Home

Median-based clustering for underdetermined blind signal processing

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

Full text not available from this repository.

at publisher (via DOI)


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 ...


Export bibliographical data

Item type:Article
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Item ID:16974
Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons