238 citations · 416 across the 9 of their papers we have counts for
5 papers · 1 filter
Phase retrieval with a multivariate Von Mises prior: from a Bayesian formulation to a lifting solution
Angelique Dremeau, Antoine Deleforge
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 informa…
DOA estimation in structured phase-noisy environments: technical report
Angélique Drémeau, Cédric Herzet
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 obs…
Approximate Message Passing with Restricted Boltzmann Machine Priors
Eric W. Tramel, Angélique Drémeau, Florent Krzakala
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 i…
Phase recovery from a Bayesian point of view: the variational approach
Angélique Drémeau, Florent Krzakala
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 v…
Bayesian Pursuit Algorithms
Cédric Herzet, Angélique Drémeau
This paper addresses the sparse representation (SR) problem within a general Bayesian framework. We show that the Lagrangian formulation of the standard SR problem, i.e., $\mathbf{…