306 citations
- Centre National de la Recherche ScientifiqueFR85 papers
- Université de RennesFR67 papers
- Institut National des Sciences Appliquées de RennesFR55 papers
- CentraleSupélecFR26 papers
- Institut national de recherche en sciences et technologies du numériqueFR10 papers
- Université Rennes 1FR9 papers
- Université Européenne de BretagneFR8 papers
- Institut de Recherche Technologique B-comFR7 papers
- Orange (France)FR7 papers
- O.Ya. Usikov Institute for Radiophysics and ElectronicsUA6 papers
- Laboratoire Jean KuntzmannFR5 papers
- Merck Serono S.A.S. (France)FR5 papers
192 papers
Multi-dimensional hierarchical dictionary search for large MIMO-OFDM systems
Nay Klaimi, Philippe Mary, Luc Le Magoarou
Sparse recovery algorithms are of utmost importance for estimation processes in wireless communications. However, communication systems such as massive multiple input multiple outp…
On the Design of an Optimal Multi-Tone Jammer Against the Wiener Interpolation Filter
Corentin Fonteneau
In the context of civilian and military communications, anti-jamming techniques are essential to ensure information integrity in the presence of malicious interference. A conventio…
Physically constrained unfolded multi-dimensional OMP for large MIMO systems
Nay Klaimi, Clément Elvira, Philippe Mary +1
Sparse recovery methods are essential for channel estimation and localization in modern communication systems, but their reliability relies on accurate physical models, which are r…
Average and Worst-case Analysis of MIMO Beamforming Loss due to Hardware Impairments
Xuan Chen, Matthieu Crussière, Luc Le Magoarou
In this paper, we investigate the impact of hardware impairments in antenna arrays on the beamforming performance of multi-input multi-output (MIMO) communication systems. We consi…
RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene +2
In this paper, we introduce RAVID, the first framework for AI-generated image detection that leverages visual retrieval-augmented generation (RAG). While RAG methods have shown pro…
Model-based Implicit Neural Representation for sub-wavelength Radio Localization
Baptiste Chatelier, Vincent Corlay, Musa Furkan Keskin +3
The increasing deployment of large antenna arrays at base stations has significantly improved the spatial resolution and localization accuracy of radio-localization methods. Howeve…