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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…
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Related topics
Related topics
13 relations
Blind signal separation
Computational auditory scene analysis
Empirical orthogonal functions
Factorial code
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Broader (2)
Digital signal processing
Speech processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
A Novel Signal Separation Algorithm for Wideband Spectrum Sensing in Cognitive Networks
Dan Liu
,
Chao Li
,
Jian Liu
,
Keping Long
IEEE Global Telecommunications Conference…
2010
Corpus ID: 206686236
In cognitive radio networks, since any cognitive terminal can access the wideband frequency spectrum, interference from hostile…
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2007
2007
Monaural Speech Separation using Source-Adapted Models
Ron J. Weiss
,
D. Ellis
IEEE Workshop on Applications of Signal…
2007
Corpus ID: 9801627
We propose a model-based source separation system for use on single channel speech mixtures where the precise source…
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2006
2006
Frequency-domain blind deconvolution based on mutual information rate
A. Larue
,
J. Mars
,
C. Jutten
IEEE Transactions on Signal Processing
2006
Corpus ID: 188123
In this paper, a new blind single-input single-output (SISO) deconvolution method based on the minimization of the mutual…
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2005
2005
Spatiotemporal blind source separation using double-sided approximate joint diagonalization
Fabian J Theis
,
P. Gruber
,
I. Keck
,
A. Meyer-Baese
,
E. Lang
European Signal Processing Conference
2005
Corpus ID: 15618200
In independent component analysis (ICA) the common task is to achieve either spatial or temporal independence by linearly mapping…
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2004
2004
Source separation contrasts using a reference signal
A. Adib
,
E. Moreau
,
D. Aboutajdine
IEEE Signal Processing Letters
2004
Corpus ID: 17266114
In this letter, we consider contrast functions, which are useful tools for the sources separation problem. We present new…
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Highly Cited
2001
Highly Cited
2001
UNDERDETERMINED BLIND SOURCE SEPARATION USING A PROBABILISTIC SOURCE SPARSITY MODEL
L. Vielva
,
Deniz Erdoğmuş
,
J. Príncipe
2001
Corpus ID: 18316874
Blind source separation consists of recovering n source signals from m measurements that are an unknown function of the sources…
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1999
1999
Nonsymmetrical contrasts for sources separation
E. Moreau
,
N. Thirion-Moreau
IEEE Transactions on Signal Processing
1999
Corpus ID: 19118276
In this paper, the problem of the blind separation of independent sources is considered. Our approach relies on high-order…
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1999
1999
Methods for Separation of Harmonic Sound Sources Using Sinusoidal Modeling
T. Tolonen
1999
Corpus ID: 16927717
Methods are proposed for separation of harmonic sound sources using sinusoidal modeling. A local nonlinear least-squares (NLS…
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Highly Cited
1997
Highly Cited
1997
A blind signal separation method for multiuser communications
L. Castedo
,
Carlos J. Escudero
,
A. Dapena
IEEE Transactions on Signal Processing
1997
Corpus ID: 17859886
A new approach based on the constant modulus (CM) criterion is proposed to separate instantaneous linear mixtures of signals…
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1988
1988
The Coming Era of Conservation and Industrial Utilization of Recyclable Materials
W. Kovacs
1988
Corpus ID: 21674782
I. The Problem And Its History ............................ 538 A . The Problem ........................................ 538 B…
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