Luc Le Magoarou
- Institut National des Sciences Appliquées - Rennes (INSA Rennes)
- Institut d'Électronique et des Technologies du numéRique (IETR)
Présentation
Publications
Publications
Estimation des DOA avec un réseau d’antennes coprime en présence d’erreurs de gain et de phase des capteursJournées Nationales Microondes (JNM 2026), May 2026, Lille, France. pp.sciencesconf.org:jnm2026:690368 |
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Energy-Efficient Secure Cell-free Massive MIMO Precoding With Power Constraints per Access Point for Next Generations of Communications6GNet, Dec 2025, Paris, France |
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Précodage Sécurisé en MIMO Massif : une Approche Basée sur la ProjectionSEPHYTEM, Nov 2025, Rennes, France |
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CC Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC SystemsICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2025, Hyderabad, India. pp.1-5, ⟨10.1109/icassp49660.2025.10890700⟩ |
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DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple SourcesICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2025, Hyderabad, India. pp.1-5, ⟨10.1109/icassp49660.2025.10888295⟩ |
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Model-based learning for joint channel estimation and hybrid MIMO precoding2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Jul 2025, Guildford Surrey, United Kingdom. ⟨10.1109/SPAWC66079.2025.11143375⟩ |
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Précodage sécurisé pour les réseaux massivement MIMO non-cellulairesGRETSI'2025, Aug 2025, Strasbourg, France |
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Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated ArraysICC 2025 - IEEE International Conference on Communications, Jun 2025, Montreal, Canada. ⟨10.1109/icc52391.2025.11161736⟩ |
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Channel Charting for Efficient Precoding in Cell-Free Massive MIMOAsilomar Conference on Signals, Systems, and Computers, Oct 2025, California, United States |
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Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning2025 19th European Conference on Antennas and Propagation (EuCAP), Mar 2025, Stockholm, Sweden. pp.1-5, ⟨10.23919/eucap63536.2025.10999486⟩ |
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CSI Compression using Channel Charting2024 58th Asilomar Conference on Signals, Systems, and Computers, Oct 2024, Pacific Grove, United States. ⟨10.1109/IEEECONF60004.2024.10942729⟩ |
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Model-Based Deep Learning for High-Dimensional Periodic Structures2024 18th European Conference on Antennas and Propagation (EuCAP), Mar 2024, Glasgow, United Kingdom. ⟨10.23919/eucap60739.2024.10501726⟩ |
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Model-Based Learning for Location-to-Channel MappingICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2024, Seoul, South Korea. ⟨10.1109/icassp48485.2024.10446774⟩ |
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Semi-Supervised End-to-End Learning for Integrated Sensing and Communications1st IEEE International Conference on Machine Learning for Communication and Networking (IEEE ICMLCN), May 2024, Stockholm, Sweden. ⟨10.1109/ICMLCN59089.2024.10624785⟩ |
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Model-based Deep Learning for Beam Prediction based on a Channel Chart57th Asilomar Conference on Signals, Systems and Computers, Oct 2023, Pacific Grove, United States. ⟨10.1109/IEEECONF59524.2023.10476981⟩ |
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Efficient Deep Unfolding for SISO-OFDM Channel EstimationIEEE international conference on communications (ICC), May 2023, Roma, Italy |
Experimentally realized physical-model-based wave control in massively parametrized complex mediaPhotonics Online Meetup 2023, Nov 2023, Online, France |
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Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting23rd IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2022, Jul 2022, Oulu, Finland |
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Pervasive AI in next generation wireless: The Hexa-X project perspectiveIEEE WCCl 2022 - First International Workshop on Artificial Intelligence in beyond 5G and 6G Wireless Networks, Jul 2022, Padoue, Italy |
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Channel charting based beamformingAsilomar Conference on Signals, Systems, and Computers, Oct 2022, Pacific Grove, United States |
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Deep Learning for Location Based Beamforming with Nlos Channels47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9747293⟩ |
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On the Computation of Integrals of Bivariate Gaussian DistributionIEEE Symposium on Computers and Communications (ISCC), Jul 2020, Rennes, France |
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Parametric channel estimation for massive MIMOIEEE statistical signal processing workshop (SSP), Jun 2018, Freiburg, Germany |
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MIMO Channel Hardening for Ray-based Models14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct 2018, Limassol, Cyprus. pp.1-7, ⟨10.1109/wimob.2018.8589085⟩ |
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Analyzing the Approximation Error of the Fast Graph Fourier TransformACSSC 2017 - 51st Annual Asilomar Conference on Signals Systems and Computers, Oct 2017, Monterey, California, United States |
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Are There Approximate Fast Fourier Transforms On Graphs?International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016, Shanghai, China |
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FA$\mu$ST: speeding up linear transforms for tractable inverse problemsEuropean Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France |
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Chasing butterflies: In search of efficient dictionariesInternational Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia. ⟨10.1109/ICASSP.2015.7178579⟩ |
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Text-informed audio source separation using nonnegative matrix partial co-factorizationIEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Sep 2013, Southampton, United Kingdom |
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Estimation par Maximum de Vraisemblance du sous espace clutter dans un bruit hétérogène rang faible avec application au STAPGRETSI 2013, Sep 2013, Brest, France. pp.1-4 |
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MAXIMUM LIKELIHOOD ESTIMATION OF CLUTTER SUBSPACE IN NON HOMOGENEOUS NOISE CONTEXT21st European Signal Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. pp.1-5 |
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Multi-layer Sparse Matrix FactorizationSPARS 2015 Signal Processing with Adaptive Sparse Structured Representations, Jul 2015, Cambridge, United Kingdom |
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Strategies to learn computationally efficient and compact dictionariesInternational Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), Aug 2014, Namur, Belgium |
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Matrices efficientes pour le traitement du signal et l'apprentissage automatiqueTraitement du signal et de l'image [eess.SP]. INSA de Rennes, 2016. Français. ⟨NNT : 2016ISAR0008⟩ |