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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 55,421 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Blind Source Separation Techniques have?

ScholarIQcitation count

Blind Source Separation Techniques has 840,232 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Blind Source Separation Techniques?

ScholarIQopenalex

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

Who are the most-cited researchers behind Blind Source Separation Techniques?

ScholarIQtop researchers by citations
1
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
2
Karl Friston · Neural dynamics and brain function
1,961 works306,828 citations
3
Donald B. Rubin · Statistical Methods and Bayesian Inference
660 works299,342 citations
4
Trevor Hastie · Statistical Methods and Inference
656 works297,993 citations
5
Yann LeCun · Domain Adaptation and Few-Shot Learning
484 works252,968 citations

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

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

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