Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Drémeau, Angélique"'
In underwater acoustics, shallow water environments act as modal dispersive waveguides when considering low-frequency sources. In this context, propagating signals can be described as a sum of few modal components, each of them propagating according
Externí odkaz:
http://arxiv.org/abs/2011.12831
We propose a low-computational strategy for the efficient implementation of the "atom selection step" in sparse representation algorithms. The proposed procedure is based on simple tests enabling to identify subsets of atoms which cannot be selected.
Externí odkaz:
http://arxiv.org/abs/1812.01932
Autor:
Dremeau, Angelique, Deleforge, Antoine
In this paper, we investigate a new method for phase recovery when prior information on the missing phases is available. In particular, we propose to take into account this information in a generic fashion by means of a multivariate Von Mises dis- tr
Externí odkaz:
http://arxiv.org/abs/1704.08972
Autor:
Drémeau, Angélique, Herzet, Cédric
In this paper we focus on the problem of estimating the directions of arrival (DOA) of a set of incident plane waves. Unlike many previous works, which assume that the received observations are only affected by additive noise, we consider the setup w
Externí odkaz:
http://arxiv.org/abs/1609.03503
Autor:
Drémeau, Angélique
Cette thèse s'intéresse à différentes techniques de compression d'image combinant à la fois des aspects Bayésiens et des aspects ”décompositions parcimonieuses”. Deux types de compression sont en particulier examinés. Le codage par transf
Autor:
Saade, Alaa, Caltagirone, Francesco, Carron, Igor, Daudet, Laurent, Drémeau, Angélique, Gigan, Sylvain, Krzakala, Florent
Publikováno v:
Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pages: 6215 - 6219
Random projections have proven extremely useful in many signal processing and machine learning applications. However, they often require either to store a very large random matrix, or to use a different, structured matrix to reduce the computational
Externí odkaz:
http://arxiv.org/abs/1510.06664
In this work, we propose a novel procedure for video super-resolution, that is the recovery of a sequence of high-resolution images from its low-resolution counterpart. Our approach is based on a "sequential" model (i.e., each high-resolution frame i
Externí odkaz:
http://arxiv.org/abs/1506.00473
Publikováno v:
J. Stat. Mech. (2016) 073401
Approximate Message Passing (AMP) has been shown to be an excellent statistical approach to signal inference and compressed sensing problem. The AMP framework provides modularity in the choice of signal prior; here we propose a hierarchical form of t
Externí odkaz:
http://arxiv.org/abs/1502.06470
Autor:
Dremeau, Angelique, Liutkus, Antoine, Martina, David, Katz, Ori, Schulke, Christophe, Krzakala, Florent, Gigan, Sylvain, Daudet, Laurent
Publikováno v:
Optics Express Vol. 23, Issue 9, pp. 11898-11911 (2015)
This paper investigates experimental means of measuring the transmission matrix (TM) of a highly scattering medium, with the simplest optical setup. Spatial light modulation is performed by a digital micromirror device (DMD), allowing high rates and
Externí odkaz:
http://arxiv.org/abs/1502.03324
Autor:
Drémeau, Angélique, Krzakala, Florent
Publikováno v:
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on Year: 2015 Pages: 3661- 3665
In this paper, we consider the phase recovery problem, where a complex signal vector has to be estimated from the knowledge of the modulus of its linear projections, from a naive variational Bayesian point of view. In particular, we derive an iterati
Externí odkaz:
http://arxiv.org/abs/1410.1368