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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… Expand
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international… Expand
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Highly Cited
2004
Highly Cited
2004
Binary time-frequency masks are powerful tools for the separation of sources from a single mixture. Perfect demixing via binary… Expand
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Highly Cited
2002
Highly Cited
2002
From the Publisher: With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one… Expand
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Highly Cited
2001
Highly Cited
2001
The scope of this work is the separation of N sources from M linear mixtures when the underlying system is underdetermined, that… Expand
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Highly Cited
2001
Highly Cited
2001
Abstract In this paper, we introduce a new technique for blind source separation of speech signals. We focus on the temporal… Expand
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Highly Cited
2000
Highly Cited
2000
Acoustic signals recorded simultaneously in a reverberant environment can be described as sums of differently convolved sources… Expand
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Highly Cited
1997
Highly Cited
1997
Separation of sources consists of recovering a set of signals of which only instantaneous linear mixtures are observed. In many… Expand
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Highly Cited
1995
Highly Cited
1995
A new on-line learning algorithm which minimizes a statistical dependency among outputs is derived for blind separation of mixed… Expand
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Highly Cited
1995
Highly Cited
1995
Abstract In this paper, we address the adaptive blind source separation of independent sources using higher order statistics… Expand
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Highly Cited
1991
Highly Cited
1991
Abstract The separation of independent sources from an array of sensors is a classical but difficult problem in signal processing… Expand
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