Luc Le Magoarou
Luc Le Magoarou
b<>com - Rennes
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TitleCited byYear
Text-informed audio source separation using nonnegative matrix partial co-factorization
L Le Magoarou, A Ozerov, NQK Duong
2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013
332013
Flexible multi-layer sparse approximations of matrices and applications
L Le Magoarou, R Gribonval
IEEE Journal of Selected Topics in Signal Processing, 2015
292015
Approximate fast graph fourier transforms via multilayer sparse approximations
L Le Magoarou, R Gribonval, N Tremblay
IEEE transactions on Signal and Information Processing over Networks 4 (2 …, 2017
242017
Text-informed audio source separation. example-based approach using non-negative matrix partial co-factorization
L Le Magoarou, A Ozerov, NQK Duong
Journal of Signal Processing Systems 79 (2), 117-131, 2015
242015
Chasing butterflies: In search of efficient dictionaries
L Le Magoarou, R Gribonval
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
202015
Learning computationally efficient dictionaries and their implementation as fast transforms
L Le Magoarou, R Gribonval
arXiv preprint arXiv:1406.5388, 2014
102014
Maximum likelihood estimation of clutter subspace in non homogeneous noise context
A Breloy, L Le Magoarou, G Ginolhac, F Pascal, P Forster
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
102013
Parametric Channel Estimation for Massive MIMO
L Le Magoarou, S Paquelet
2018 IEEE Statistical Signal Processing Workshop (SSP), 30-34, 2018
9*2018
Are there approximate fast fourier transforms on graphs?
L Le Magoarou, R Gribonval
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
82016
FAµST: Speeding up linear transforms for tractable inverse problems
L Le Magoarou, R Gribonval, A Gramfort
European Signal Processing Conference (EUSIPCO), 2015
62015
Matrices efficientes pour le traitement du signal et l'apprentissage automatique.(Efficient matrices for signal processing and machine learning).
L Le Magoarou
INSA de Rennes, France, 2016
4*2016
Bias-variance tradeoff in MIMO channel estimation
L Le Magoarou, S Paquelet
arXiv preprint arXiv:1804.07529, 2018
32018
Exploiting the massive MIMO channel structural properties for minimization of channel estimation error and training overhead
S Bazzi, S Stefanatos, L Le Magoarou, SE Hajri, M Assaad, S Paquelet, ...
IEEE Access 7, 32434-32452, 2019
22019
MIMO Channel Hardening: A Physical Model based Analysis
M Roy, S Paquelet, L Le Magoarou, M Crussière
arXiv preprint arXiv:1804.07491, 2018
22018
Analyzing the approximation error of the fast graph fourier transform
L Le Magoarou, N Tremblay, R Gribonval
arXiv preprint arXiv:1711.00386, 2017
22017
Method of singing voice separation from an audio mixture and corresponding apparatus
L Le Magoarou, A Ozerov, QKN Duong
US Patent 20,150,380,014, 2015
22015
Massive MIMO channel estimation taking into account spherical waves
A Le Calvez, L Le Magoarou, S Paquelet
arXiv preprint arXiv:1811.05669, 2018
12018
MIMO Channel Hardening for Ray-based Models
M Roy, S Paquelet, L Le Magoarou, M Crussière
2018 14th International Conference on Wireless and Mobile Computing …, 2018
12018
Strategies to learn computationally efficient and compact dictionaries
L Le Magoarou, R Gribonval
International Traveling Workshop on Interactions between Sparse models and …, 2014
12014
Estimation par Maximum de Vraisemblance du sous espace clutter dans un bruit hétérogène rang faible avec application au STAP
A Breloy, L Le Magoarou, G Ginolhac, F Pascal, P Forster
12013
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