4 papers
SiML: Sieved Maximum Likelihood for Array Signal Processing
Matthieu Simeoni, Paul Hurley
Stochastic Maximum Likelihood (SML) is a popular direction of arrival (DOA) estimation technique in array signal processing. It is a parametric method that jointly estimates signal…
TV-based Reconstruction of Periodic Functions
Julien Fageot, Matthieu Simeoni
We introduce a general framework for the reconstruction of periodic multivariate functions from finitely many and possibly noisy linear measurements. The reconstruction task is for…
CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI
Matthieu Simeoni, Adrien Besson, Paul Hurley +1
Finite rate of innovation (FRI) is a powerful reconstruction framework enabling the recovery of sparse Dirac streams from uniform low-pass filtered samples. An extension of this fr…
Functional Penalised Basis Pursuit on Spheres
Matthieu Simeoni
In this paper, we propose a unified theoretical and practical spherical approximation framework for functional inverse problems on the hypersphere. More specifically, we consider r…