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Author

Luc Le Magoarou

Observed names: L. Le Magoarou, Le Magoarou Luc, Le Magoarou, Luc, Luc Le, Luc Le Magoaroul, Luc Le Magoarouluc, Magoarou, L. Le, Magoarou, Luc Le
Observed institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Université Paris-Saclay, Institut de Recherche en Informatique et Systèmes Aléatoires, Institut National des Sciences Appliquées de Rennes, Institut d'Électronique et des Technologies du numéRique, CentraleSupélec, Technicolor (France), Centre Inria de l'Université de Rennes, Laboratoire des systèmes et applications des technologies de l'information et de l'énergie, Institut de Recherche Technologique B-com, Supélec ONERA DSTA Research Alliance, Université de Rennes
ORCID: 0000-0001-6531-966X
Observed ORCIDs: 0000-0001-6531-966X, 0000-0002-2871-4406
OpenAlex ID: A5013280214
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels
2024 · Antonin Rabault, Luc Le Magoarou, et al. · IEEE Transactions on Wireless Communications · 69
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Experimentally realized physical-model-based frugal wave control in metasurface-programmable complex media
2024 · Jérôme Sol, Hugo Prod’homme, et al. · Nature Communications · 67
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Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations
2017 · Luc Le Magoarou, Remi Gribonval, et al. · IEEE Transactions on Signal and Information Processing over Networks · 67
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Flexible Multilayer Sparse Approximations of Matrices and Applications
2016 · Luc Le Magoarou, Remi Gribonval · IEEE Journal of Selected Topics in Signal Processing · 59
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mpNet: Variable Depth Unfolded Neural Network for Massive MIMO Channel Estimation
2022 · Taha Yassine, Luc Le Magoarou · IEEE Transactions on Wireless Communications · 41
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Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication Under Hardware Impairments
2025 · José Miguel Mateos-Ramos, Christian Häger, et al. · IEEE Transactions on Wireless Communications · 39
Massive MIMO Channel Estimation taking into account spherical waves
2019 · Luc Le Magoarou, Antoine Le Calvez, et al. · IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) · 39
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Text-informed audio source separation using nonnegative matrix partial co-factorization
2013 · Luc Le Magoarou, Alexey Ozerov, et al. · Machine learning for signal processing ... · 33
Chasing butterflies: In search of efficient dictionaries
2015 · Luc Le Magoarou, Remi Gribonval · IEEE International Conference on Acoustics Speech and Signal Processing · 31
Optimal Blind Focusing on Perturbation‐Inducing Targets in Sub‐Unitary Complex Media
2024 · Jérôme Sol, Luc Le Magoarou, et al. · Laser & Photonics Review · 30
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Model-Driven End-to-End Learning for Integrated Sensing and Communication
2023 · José Miguel Mateos-Ramos, Christian Häger, et al. · International Conference on Communications · 27
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Text-Informed Audio Source Separation. Example-Based Approach Using Non-Negative Matrix Partial Co-Factorization
2014 · Luc Le Magoarou, Alexey Ozerov, et al. · Journal of Signal Processing Systems · 27
Efficient Channel Charting via Phase-Insensitive Distance Computation
2021 · Luc Le Magoarou · IEEE Wireless Communications Letters · 25
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Efficient Deep Unfolding for SISO-OFDM Channel Estimation
2023 · Baptiste Chatelier, Luc Le Magoaroul, et al. · International Conference on Communications · 21
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Benefits of Mutual Coupling in Dynamic Metasurface Antennas
2025 · Hugo Prod’homme, Jean Tapie, et al. · IEEE Transactions on Antennas and Propagation · 19
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Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead
2019 · Samer Bazzi, Stelios Stefanatos, et al. · IEEE Access · 19
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Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
2024 · José Miguel Mateos-Ramos, Baptiste Chatelier, et al. · IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) · 18
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Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
2022 · Taha Yassine, Luc Le Magoarou, et al. · IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) · 17
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Deep learning for location based beamforming with NLOS channels
2021 · Magoarou, Luc Le, Yassine, Taha, et al. · arXiv (Cornell University) · 16
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Parametric Channel Estimation for Massive MIMO
2018 · Luc Le Magoarou, Stephane Paquelet · IEEE Statistical Signal Processing Workshop (SSP) · 16
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Model-Based Deep Learning for Beam Prediction Based on a Channel Chart
2023 · Taha Yassine, Baptiste Chatelier, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 15
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Channel charting based beamforming
2022 · Luc Le Magoarou, Taha Yassine, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 15
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DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources
2025 · Arad Gast, Luc Le Magoarou, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 14
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MIMO Channel Hardening for Ray-based Models
2018 · Matthieu Roy, Stephane Paquelet, et al. · IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) · 13
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
2025 · Baptiste Chatelier, José Miguel Mateos-Ramos, et al. · International Conference on Communications · 12
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Works count: 95
Citation count: 924
H-index: 17
I10-index: 29
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