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Blind Source Separation Techniques
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on blind source separation and independent component analysis, with applications in signal decomposition, biomedical signals, and processing of convolutive mixtures. The methods often utilize sparse representation and exploit the temporal structure of the signals, particularly in the frequency domain.
97
Works
IDs:OpenAlex
How has Blind Source Separation Techniques's publication output changed over time?
ScholarIQpublication output · 1996–2021
Output grew0% over the shown period — from 1 works in 1996 to 1 in 2021.
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1
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2
1
1
1
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1
1
1996199720002001200720112012201520162021
What are the most-cited papers on Blind Source Separation Techniques?
ScholarIQmost cited works
Removing electroencephalographic artifacts by blind source separation
Tzyy‐Ping Jung, Scott Makeig, Colin Humphries, Te‐Won Lee, Martin J. McKeown, Vicente J. Iragui, Terrence J. Sejnowski
S167723465. 20003,207 Citations
A method for making group inferences from functional MRI data using independent component analysis
Vince D. Calhoun, Tülay Adalı, Godfrey D. Pearlson, James J. Pekar
Human Brain Mapping. 20013,087 CitationsOPEN ACCESS
Removing electroencephalographic artifacts by blind source separation
Tzyy‐Ping Jung, Scott Makeig, Colin Humphries, TE-WON LEE, Martin J. McKeown, VICENTE IRAGUI, Terrence J. Sejnowski
S167723465. 2000786 Citations
Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms
Vince D. Calhoun, Tülay Adalı, Godfrey D. Pearlson, James J. Pekar
Human Brain Mapping. 2001717 CitationsOPEN ACCESS
A theoretical justification of the average reference in topographic evoked potential studies
Olivier Bertrand, Fabien Perrin, J. Pernier
S4210223581. 1985421 Citations
Where is Blind Source Separation Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Blind Source Separation Techniques is open access?
ScholarIQopen access share
27%OPEN ACCESS
Gold
0%
Green
13%
Hybrid
7%
Bronze
7%
Closed
73%
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