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Source separation

Source separation problems in digital signal processing are those in which several signals have been mixed together into a combined signal and the… Expand
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Papers overview

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Review
2019
Review
2019
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning… Expand
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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
2006
Highly Cited
2006
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application… 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
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
2000
Highly Cited
2000
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which… 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
1996
Highly Cited
1996
Source separation consists of recovering a set of independent signals when only mixtures with unknown coefficients are observed… 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
1989
Highly Cited
1989
The author presents a simple algebraic method for the extraction of independent components in multidimensional data. Since… Expand
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