no code implementations • 8 Aug 2023 • Thomas Feuillen, Amirafshar Moshtaghpour
This 3-day symposium in the heart of Europe features 6 keynotes speakers and is open to extended abstracts for scientific presentations and show-and-tell demonstrations.
no code implementations • 31 Jul 2023 • Gilles Monnoyer, Thomas Feuillen, Maxime Drouguet, Laurent Jacques, Luc Vandendorpe
Our grid hopping approach, which relies on interpolation strategies, offers a reduced computation time while its performance stays on par with the direct method.
no code implementations • 30 Jun 2023 • Thomas Feuillen, Bhavani Shankar MRR, Ayush Bhandari
In this paper, the trade-off between the quantization noise and the dynamic range of ADCs used to acquire radar signals is revisited using the Unlimited Sensing Framework (USF) in a practical setting.
no code implementations • 9 Feb 2021 • Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe, Laurent Jacques
This algorithm extends existing continuous greedy algorithms to the framework of factorized sparse representations of the signals.
no code implementations • 10 Nov 2020 • Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe, Laurent Jacques
In this paper we propose to bridge the gap between using extremely low resolution 1-bit measurements and estimating targets' parameters, such as their velocities, that exist in a continuum, i. e., by performing Off-the-Grid estimation.
no code implementations • 17 Aug 2020 • Thomas Feuillen, Mike Davies, Luc Vandendorpe, Laurent Jacques
This work focuses on the reconstruction of sparse signals from their 1-bit measurements.