Frédéric Pascal
6
Documents
Identifiants chercheurs
- frederic-pascal
- 0000-0003-0196-6395
- Google Scholar : https://scholar.google.fr/citations?user=sGpusG8AAAAJ
- IdRef : 111704898
Présentation
**Frederic Pascal** received the Master's degree ("Probabilities, Statistics and Applications: Signal, Image et Networks";) with merit, in Applied Statistics from University Paris VII - Jussieu, Paris, France, in 2003. Then, he received the **Ph.D. degree** of Signal Processing, from University Paris X - Nanterre in 2006. From November 2006 to February 2008, he made a post-doctoral position in the Signal Processing and Information team of the laboratory SATIE, CNRS, ENS Cachan, France. Between March 2008 and December 2011 (resp. Jan. 2012 - Dec. 2013), he was an Assistant Professor (resp. Associate Professor) in SONDRA at CentraleSupelec. In 2012, he obtained a **Research Directorship Habilitation** (HDR) thesis in Signal Processing from the University of Paris-Sud. Between Aug. 2013 and Aug. 2014, he was a Visiting Associate Professor in the ECE department at the National University of Singapore. From Jan. 2014, Frederic Pascal is a full Professor in the L2S laboratory at CentraleSupelec. From Jan. 2017 to Dec. 2019, he was the head of the "Signals and Statistics"; group of L2S. He is also the **coordinator of Artificial Intelligence and Data Science activities at CentraleSupelec**. From 2015 to 2017, Frederic Pascal was the Chair of the EURASIP SAT in Theoretical and Methodological Trends in Signal Processing (TMTSP) and he is a member of the IEEE SPS SAM technical committee (Jan. 2015-present). Frederic Pascal serves as an Associate Editor for the IEEE TSP (2015-2018), Elsevier SP (2018-present) and EURASIP JASP (2015-present). His research interests contain **estimation, detection and classification for statistical signal processing and applications**. He is the author / coauthor of more than one hundred papers in the top journals and conferences in **Signal Processing, Image Processing and Statistics / Machine Learning**.
More details at:
Web: <http://www.fredericpascal.blogspot.com>
LinkedIn: [https://www.linkedin.com/in/frederic-pascal-937a3030/](https://www.linkedin.com/in/frederic-pascal-937a3030/ "https://www.linkedin.com/in/frederic-pascal-937a3030/")
Google Scholar: [https://scholar.google.fr/FP](https://www.linkedin.com/in/frederic-pascal-937a3030/ "https://scholar.google.fr/citations?hl=en&user=sGpusG8AAAAJ&view_op=list_works&gmla=AJsN-F4r7aXr3MfqUH84f-imm19vWpGuHIvqUjrNIl7hGc14koVS2Ke3c6Fk0bCcncSeyYR_SRPT8CtOsDM_iNt3N5B2HEas8ch2qyL1Vm3_lwLfsLFj9YXqyPvZ0ONXeLAajs577LMsFn1PbpEMfPY5ZPWMhFhwdMjJe9AXl8RzRPi44QyDX6Kv5iL8JLZTL7KwT6K-dDP0")
Publications
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Deinterleaving RADAR emitters with optimal transport distancesIEEE Transactions on Aerospace and Electronic Systems, 2024, pp.1-13. ⟨10.1109/TAES.2024.3367287⟩
Article dans une revue
hal-04473098v1
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Désentrelacement et classification des émetteurs RADARs basés sur l'utilisation des distances de Transport OptimalConference on Artificial Intelligence for Defense, DGA Maîtrise de l'Information, Nov 2022, Rennes, France
Communication dans un congrès
hal-03881736v1
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Désentrelacement et classification de signaux RADAR basés sur des distances de transport optimalGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France
Communication dans un congrès
hal-03851279v1
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RADAR Emitter Classification with Optimal Transport Distances30th European Signal Processing Conference (EUSIPCO 2022), Aug 2022, Belgrade, Serbia. ⟨10.23919/eusipco55093.2022.9909967⟩
Communication dans un congrès
hal-03869152v1
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Deinterleaving and Clustering unknown RADAR pulsesIEEE Radar Conference 2021, May 2021, ATLANTA (virtual), United States. ⟨10.1109/radarconf2147009.2021.9455272⟩
Communication dans un congrès
hal-03245067v1
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Deinterleaving RADAR emitters with optimal transport distances2023
Pré-publication, Document de travail
hal-04360282v1
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