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Blind Compensation of Nonlinear Distortions : Application to Source Separatio...
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Blind Source Separation for Robot Audition using fixed HRTF beamforming
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Frequency Domain Blind Source Separation for Robot Audition Using a Parameter...
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From Binaural to Multichannel Blind Source Separation using Fixed Beamforming...
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Multi-Approach Satellite Images Fusion Based on Blind Sources Separation
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Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blin...
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Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures
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A Tractable Framework for Estimating and Combining Spectral Source Models for...
The underdetermined blind audio source separation (BSS) problem is often addressed in the time-frequency (TF) domain assuming that each TF point is modeled as an... -
A tractable framework for estimating and combining spectral source models for...
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Blind source separation methods and application to remote sensing
Thèse en co-tutelle internationale Franco-Algérienne -
Image decomposition and separation using sparse representations: an overview
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An overview of inverse problem regularization using sparsity
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Sensor Networks for Underwater Ecosystem Monitoring & Port Surveillance Systems
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Separation of instantaneous mixtures of dependent sources using classical ICA...
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Nonnegative Joint Diagonalization by Congruence Based on LU Matrix Factorization
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Blind source separation methods for hyperspectral imaging. Application to urb...
In this work, we developed Blind Source Separation methods (BSS) for hyperspectral images, concerning two applications : urban remote sensing and astrophysics. The... -
Iterative Algorithms
The present chapter surveys computational algorithms for solving the independent component analysis (ICA) problem. Most of these algorithms rely on gradient or Newton... -
Generalized mutual information approach to multichannel blind deconvolution
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Prediction of treatment response and the effect of independent component neur...
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Ecosystem Monitoring and Port Surveillance Systems
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