Blind Source Separation is a signal processing technique that belongs to the class of multivariate analysis methods, differing from its counterparts by extracting independent source signals from their observed mixtures without prior knowledge of the sources or the mixing process.
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2017–2026
490
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A Fast Fixed-Point Algorithm for Independent Component Analysis
Aapo Hyvärinen, Erkki Oja · Neural Computation · 1997 · 3.4K citations
Removing electroencephalographic artifacts by blind source separation
Tzyy‐Ping Jung, Scott Makeig, Colin Humphries et al. · Psychophysiology · 2000 · 3.2K citations
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Centre National de la Recherche Scientifique
Paris, France
45 h-index
327 publications
23.7K citations
RIKEN Center for Brain Science
Wako, Japan
38 h-index
124 publications
8.8K citations
NTT (Japan)
Tokyo, Japan
32 h-index
227 publications
14.9K citations
Télécom Paris
Palaiseau, France
29 h-index
78 publications
12K citations
KU Leuven
Leuven, Belgium
26 h-index
112 publications
11K citations
University of California San Diego
San Diego, United States
23 h-index
78 publications
58.2K citations
Imperial College London
London, United Kingdom
22 h-index
68 publications
2.5K citations
GIPSA-Lab
Grenoble, France
22 h-index
69 publications
4.2K citations
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- IEEE Transactions on Signal Processing
174 publications · 16.8K citations
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- Signal Processing
95 publications · 8.6K citations
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- IEEE Signal Processing Letters
76 publications · 4.1K citations
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- IEEE Transactions on Biomedical Engineering
38 publications · 5.2K citations
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- IEEE Transactions on Audio Speech and Language Processing
39 publications · 7.2K citations
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