Yassine Mhiri

Doctorant au laboratoire SATIE (ENS Paris-Saclay)
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Affiliation actuelle
  • Méthodes et Outils pour les Signaux et Systèmes (SATIE-MOSS)
Identifiants chercheurs
Contact

Présentation

I am a Phd Student in statistical signal processing applied to radioastronomy, supervised by Pascal Larzabal, Mohammed Nabil EL Korso and Arnaud Breloy within the signal processing group (MOSS) of the SATIE laboratory at Paris-Saclay University.

Before that, I was a research engineer at Phasics where i helped conceive and develop algorithmic solutions for wavefront sensor analysis.

My current research interests lie in robust signal processing, statistical learning, structured covariance matrix estimation, interferometry and sensor array processing.


Compétences

Python C++ Signal Processing Statistical learning Sensor Array Processing

Publications

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Publications