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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
The paper presents question of blind source separation encountered by researchers aiming to determine location of generation… 
Highly Cited
2009
Highly Cited
2009
For a natural verbal communication between humans and machines, automatic speech recognition, which works reasonably well on… 
2003
2003
A novel algorithm is described for the blind separation of signals which have been mixed in a convolutive manner. It involves an… 
2000
2000
We address the problem of classifying a digitally modulated signal received after propagation through an unknown frequency… 
Highly Cited
2000
Highly Cited
2000
  • M. IkramD. Morgan
  • 2000
  • Corpus ID: 23027645
We study and explore the limitations of methods for blind separation of a mixture of multiple speakers in a real reverberant… 
Highly Cited
1997
Highly Cited
1997
The separation of multiple signals from their superposition recorded at several sensors is addressed. The methods employ… 
Highly Cited
1997
Highly Cited
1997
A new approach based on the constant modulus (CM) criterion is proposed to separate instantaneous linear mixtures of signals… 
Review
1995
Review
1995
The separation of independent sources from mixed observed data is a fundamental and challenging problem. In many practical…