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Blind signal separation

Known as: Self-modeling mixture analysis, Multivariate curve resolution, BSS 
Blind signal separation, also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the… 
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Related topics

Related topics

16 relations
Basis (linear algebra)ChemometricsCommon spatial patternComputational auditory scene analysis

Broader (2)

Signal processingSingular value decomposition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Characteristics of Question of Blind Source Separation Using Moore-Penrose Pseudoinversion for Reconstruction of EEG Signal
The paper presents question of blind source separation encountered by researchers aiming to determine location of generation… 
Highly Cited
2013
Highly Cited
2013
Nonnegative Tensor Factorization, Completely Positive Tensors, and a Hierarchical Elimination Algorithm
Nonnegative tensor factorization has applications in statistics, computer vision, exploratory multiway data analysis, and blind… 
Highly Cited
2004
Highly Cited
2004
A geometric algorithm for overcomplete linear ICA
2003
2003
Blind signal separation of convolutive mixtures
A novel algorithm is described for the blind separation of signals which have been mixed in a convolutive manner. It involves an… 
Review
2000
Review
2000
Multivariate curve resolution with alternating least squares optimisation: a soft-modelling approach to metal complexation studies by voltammetric techniques
2000
2000
Blind source separation and signal classification
We address the problem of classifying a digitally modulated signal received after propagation through an unknown frequency… 
Highly Cited
1997
Highly Cited
1997
Multichannel blind signal separation and reconstruction
The separation of multiple signals from their superposition recorded at several sensors is addressed. The methods employ… 
1997
1997
Blind signal separation revisited
Complex control and decision systems are very often confronted with an extensive amount of information about their environment… 
Highly Cited
1997
Highly Cited
1997
A blind signal separation method for multiuser communications
A new approach based on the constant modulus (CM) criterion is proposed to separate instantaneous linear mixtures of signals… 
Review
1995
Review
1995
Multi-channel blind signal separation by decorrelation
The separation of independent sources from mixed observed data is a fundamental and challenging problem. In many practical… 
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