Results 1 - 10 of 16,370

Equivariant Adaptive Source Separation

by Jean-François Cardoso, Beate Laheld - IEEE Trans. on Signal Processing , 1996
"... Source separation consists in recovering a set of independent signals when only mixtures with unknown coefficients are observed. This paper introduces a class of adaptive algorithms for source separation which implements an adaptive version of equivariant estimation and is henceforth called EASI (Eq ..."
Abstract - Cited by 449 (9 self) - Add to MetaCart
Source separation consists in recovering a set of independent signals when only mixtures with unknown coefficients are observed. This paper introduces a class of adaptive algorithms for source separation which implements an adaptive version of equivariant estimation and is henceforth called EASI

Source Separation

by Jonathon Chambers, Wenwu Wang, An Example
"... • Introduce the source separation problem and its application domains • Key books and literature reviews • Technical preliminaries • Concepts of ICA – independence and non-Gaussianity ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
• Introduce the source separation problem and its application domains • Key books and literature reviews • Technical preliminaries • Concepts of ICA – independence and non-Gaussianity

One Microphone Source Separation

by Sam T. Roweis - In Advances in Neural Information Processing Systems 13 , 2000
"... Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, altered by the acoustic environment. Unmixing algorithms such as ICA and its extensions recover sources by reweighting mu ..."
Abstract - Cited by 148 (1 self) - Add to MetaCart
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, altered by the acoustic environment. Unmixing algorithms such as ICA and its extensions recover sources by reweighting

Source Separation

by Nikolaos Mitianoudis, Senior Member , 2011
"... Directional or Circular statistics are pertaining to the analysis and interpretation of directions or rotations. In this work, a novel probability distribution is proposed to model multidimensional sparse directional data. The Generalised Directional Laplacian Distribution (DLD) is a hybrid between ..."
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of sparse directional data. The author explores the application of the derived DLD mixture model to cluster sound sources that exist in an underdetermined instantaneous sound mixture. The proposed model can solve the general K × L (K < L) underdetermined instantaneous source separation problem, offering

A Blind Source Separation Technique Using Second Order Statistics

by Adel Belouchrani, Karim Abed-meraim, Jean-François Cardoso, Eric Moulines , 1997
"... Separation of sources consists in recovering a set of signals of which only instantaneous linear mixtures are observed. In many situations, no a priori information on the mixing matrix is available: the linear mixture should be `blindly' processed. This typically occurs in narrow-band array pro ..."
Abstract - Cited by 336 (9 self) - Add to MetaCart
Separation of sources consists in recovering a set of signals of which only instantaneous linear mixtures are observed. In many situations, no a priori information on the mixing matrix is available: the linear mixture should be `blindly' processed. This typically occurs in narrow-band array

Source Separation

by unknown authors
"... (SDIF) for ..."
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(SDIF) for

source separation

by Maria G. Jafari, Mark D. Plumbley
"... role of high frequencies in convolutive blind ..."
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role of high frequencies in convolutive blind

source-separated

by Christophe Bonvin, Bastian Etter, Kai M. Udert, Emmanuel Frossard, Simone Nanzer, Federica Tamburini, Astrid Oberson
"... uptake of phosphorus and nitrogen recycled from synthetic ..."
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uptake of phosphorus and nitrogen recycled from synthetic

and Source Separation

by unknown authors , 2004
"... This Theses, Ph.D is brought to you for free and open access by the Applied Arts at ..."
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This Theses, Ph.D is brought to you for free and open access by the Applied Arts at

Denoising Source Separation

by Jaakko Särelä, Harri Valpola
"... A new algorithmic framework called denoising source separation (DSS) is introduced. The main benefit of this framework is that it allows for easy development of new source separation algorithms which are optimised for specific problems. In this framework, source separation algorithms are constuct ..."
Abstract - Cited by 49 (7 self) - Add to MetaCart
A new algorithmic framework called denoising source separation (DSS) is introduced. The main benefit of this framework is that it allows for easy development of new source separation algorithms which are optimised for specific problems. In this framework, source separation algorithms
Results 1 - 10 of 16,370