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98
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ICA
2004
Springer
15 years 5 months ago
Optimization Issues in Noisy Gaussian ICA
This paper addresses the blind separation of noisy mixtures of independent sources. It discusses issues and techniques related to computing maximum likelihood estimates in Gaussian...
Jean-François Cardoso, Dinh-Tuan Pham
ICIP
2007
IEEE
16 years 2 months ago
Blind Audiovisual Source Separation using Sparse Representations
In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
IJON
2007
100views more  IJON 2007»
15 years 9 days ago
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties
The blind source separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical independence between outputs. Since global maximization may...
Frédéric Vrins, Dinh-Tuan Pham
132
Voted
IJON
2006
131views more  IJON 2006»
15 years 11 days ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
99
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TSP
2008
166views more  TSP 2008»
15 years 8 days ago
A Convex Analysis Framework for Blind Separation of Non-Negative Sources
This paper presents a new framework for blind source separation (BSS) of non-negative source signals. The proposed framework, referred herein to as convex analysis of mixtures of ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...