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Independent component analysis

Known as: Independent components analysis, TICA, Component analysis 
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
Electroencephalography (EEG) is a fundamental diagnostic instrument for many neurological disorders, and it is the main tool for… 
Review
2010
Review
2010
This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based… 
Highly Cited
2010
Highly Cited
2010
Convolutional neural networks (CNNs) have been successfully applied to many tasks such as digit and object recognition. Using… 
Highly Cited
2006
Highly Cited
2006
Routinely recorded electrocardiograms (ECGs) are often corrupted by different types of artefacts and many efforts have been made… 
2005
2005
Independent component analysis (ICA) technique is applied to the analysis of electroencephalographic (EEG) signal. The main task… 
Highly Cited
2003
Highly Cited
2003
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases… 
2002
2002
This paper discusses the independent component analysis (ICA) technique and its applications to the analysis of… 
Highly Cited
2001
Highly Cited
2001
While it is now generally accepted that independent component analysis is a good tool for isolating both artifacts and cognitive… 
Highly Cited
1998
Highly Cited
1998
In a task such as face recognition, much of the important information may be contained in the high-order relationships among the…