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Blind Source Separation Techniques

TopicLeading institutions, researchers & key papers

Blind Source Separation Techniques is a topic indexed in ScholarIQ from OpenAlex.

What is known about Blind Source Separation Techniques?

ScholarIQrecord summary

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.

How many works does Blind Source Separation Techniques have?

ScholarIQindexed works

Blind Source Separation Techniques has 97 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Blind Source Separation Techniques?

ScholarIQopenalex

The OpenAlex for Blind Source Separation Techniques is on the source record.

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
Psychophysiology. 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
Psychophysiology. 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
Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 1985421 Citations

Where is Blind Source Separation Techniques research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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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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