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Number of documents

2

Bruno Mériaux


Short bio
 

I studied Applied Physics & Electrical and Information Engineering at the Ecole Normale Supérieure Paris-Saclay (Cachan, France), where I graduated a four-year education program in 2017. In the 3rd year (in 2016), I obtained a Master's degree in Applied Physics for Education from Paris-Saclay University. In 2017, I received a Master Research degree in Signal and Image Processing from Paris-Saclay University. I am currently a PhD Student in Signal Processing at SONDRA laboratory/CentraleSupélec.

 

Education
 
  • PhD degree (2017-2020), CentraleSupélec/University Paris-Saclay, France
  • Master's degree in Automation and Signal Processing (2017), ENS Paris-Saclay/University Paris-Saclay, France
  • Master's degree in Applied Physics for Education (2016), ENS Paris-Saclay, France
  • Bachelor's degree in Applied Physics and Engineering (2014), ENS Paris-Saclay, France

 

Thesis title:

Robust Adaptive Signal Processing in Multisensor Systems : On the way to abandon secondary data

Started in September 2017

Directed by Philippe FORSTER

Supervised by Chengfang REN, Mohammed Nabil EL KORSO and Arnaud BRELOY

Supported by ANR ASTRID MARGARITA

Keywords: Robust estimation, Complex Elliptically Symmetric distributions, Multisensors processing

 

My research interests and activities include estimation theory in statistical signal processing and applications in radar (localization, target detection), with a particular focus on robust estimation and performance analysis.


Jean-Philippe Ovarlez   

Conference papers2 documents

  • Bruno Meriaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, P Forster, et al.. Une version récursive de RCOMET pour l'estimation robuste de matrices de forme à structure convexe. XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), Aug 2019, Lille, France. ⟨hal-02155900⟩
  • Bruno Meriaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, P Forster, et al.. On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix. 27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruña, Spain. ⟨hal-02155905⟩