Matthieu Martin Jean-André Simeoni

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Related publications (28)

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Blind calibration of sensors of sensor arrays

Paul Hurley, Matthieu Martin Jean-André Simeoni

Embodiments include methods for calibrating sensors of one or more sensor arrays. Aspects include accessing one or more beamforming matrices respectively associated to the one or more sensor arrays. Source intensity estimates are obtained for a set of poin ...

2017

Iterative image subset processing for image reconstruction

Paul Hurley, Matthieu Martin Jean-André Simeoni

The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest a ...

2017

Reconstruction using approximate message passing methods

Paul Hurley, Matthieu Martin Jean-André Simeoni

The present invention is notably directed to a computer-implemented method for image reconstruction. The method comprises: accessing elements that respectively correspond to measurement values, which can be respectively mapped to measurement nodes; and per ...

2017

DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging

Martin Vetterli, Paul Hurley, Matthieu Martin Jean-André Simeoni, Sepand Kashani

We propose a recurrent neural-network for real-time reconstruction of acoustic camera spherical maps. The network, dubbed DeepWave, is both physically and algorithmically motivated: its recurrent architecture mimics iterative solvers from convex optimisati ...

2019

A Functional Framework For Ultrasound Imaging

Paul Hurley, Matthieu Martin Jean-André Simeoni

Delay-And-Sum (DAS), the state-of-art in ultrasound imaging, is known to be sub-optimal, resulting in low resolution and contrast. Most proposed improvements involve ad-hoc re-weighting, or hit computational bottlenecks given real-time requirements. This p ...

IEEE2018

Impact Environnemental du Numérique à l’EPFL

Matthieu Martin Jean-André Simeoni, Marlène Hildebrand-Ehrhardt

L’EPFL, institution académique d’envergure internationale, s’est engagée à respecter les Accords de Paris en matière de climat, ratifiés par la Suisse le 6 octobre 2017, et se prépare aujourd’hui à employer son savoir- faire et ses compétences pour opérer ...

2021

DigiCam: Single-Shot Lensless Sensing with a Low-Cost Programmable Mask

Martin Vetterli, Matthieu Martin Jean-André Simeoni, Eric Bezzam

We propose an LCD-based lensless camera for compressive and programmable sensing. The system is low-cost (less than 100 USD) and reproducible. We model the proposed system, and demonstrate experimental results for imaging and classification. ...

Optical Society of America2023

Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions

Julien René Fageot, Matthieu Martin Jean-André Simeoni, Adrian Thibault Etienne Jarret

Nous nous intéressons à la reconstruction parcimonieuse d’images à l’aide du problème d’optimisation régularisé LASSO. Dans de nombreuses applications pratiques, les grandes dimensions des objets à reconstruire limitent, voire empêchent, l’utilisation des ...

2022