no code implementations • 18 Mar 2024 • Kévin Polisano, Basile Dubois-Bonnaire, Sylvain Meignen
We present a new approach leveraging the Sliding Frank--Wolfe algorithm to address the challenge of line recovery in degraded images.
1 code implementation • 22 Dec 2023 • Basile Dubois-Bonnaire, Sylvain Meignen, Kévin Polisano
In this paper, we develop a general method to estimate the instantaneous frequencies of the modes making up a multicomponent signal when the former exhibit interference in the time-frequency plane.
1 code implementation • 11 Oct 2022 • Juan M. Miramont, François Auger, Marcelo A. Colominas, Nils Laurent, Sylvain Meignen
In this work, a classification of these zeros in three types is introduced, based on the nature of the components that interfere to produce them.
no code implementations • 28 Mar 2022 • Quentin Legros, Dominique Fourer, Sylvain Meignen, Marcelo A. Colominas
This paper addresses the problem of estimating the modes of an observed non-stationary mixture signal in the presence of an arbitrary distributed noise.
1 code implementation • 28 Sep 2020 • Nils Laurent, Sylvain Meignen
Time-frequency analysis is often used to study non stationary multicomponent signals, which can be viewed as the surperimposition of modes, associated with ridges in the TF plane.
no code implementations • 20 Apr 2020 • Quentin Legros, Julian Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies
In this work, we consider a new similarity measure for robust depth estimation, which allows us to use a simple observation model and a non-iterative estimation procedure while being robust to mis-specification of the background illumination model.