Non‐negative matrix factorization and its application in blind sparse source separation with less sensors than sources

DOI10.1108/03321640510571174zbMath1130.15300OpenAlexW2029486888WikidataQ60486932 ScholiaQ60486932MaRDI QIDQ5708689

Yuanqunig Li, Andrzej Cichocki

Publication date: 21 November 2005

Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03321640510571174

Mathematics Subject Classification ID

Factorization of matrices (15A23) Numerical mathematical programming methods (65K05) Positive matrices and their generalizations; cones of matrices (15B48) Detection theory in information and communication theory (94A13) Technical applications of optics and electromagnetic theory (78A55)

Cites Work

• Atomic Decomposition by Basis Pursuit
• Sequential blind extraction of instantaneously mixed sources
• Learning the parts of objects by non-negative matrix factorization
• Underdetermined blind source separation using sparse representations

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