Frédéric Pascal
26
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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Exploiting Persymmetry for Low-Rank Space Time Adaptive Processing20th European Signal Processing Conference (EUSIPCO 2012), Aug 2012, Bucharest, Romania. pp.81 - 85
Communication dans un congrès
hal-00781738v1
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Robust ANMF test using Huber's M-estimatorIEEE SAM 2012, Jun 2012, Hoboken, United States. pp.373 - 376, ⟨10.1109/SAM.2012.6250514⟩
Communication dans un congrès
hal-00780780v1
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Propriétés asymptotiques d'un estimateur de matrice de covariance complexe robusteGRETSI 2011, Sep 2011, Bordeaux, France
Communication dans un congrès
hal-00659867v1
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Robust Covariance Matrix Estimate with Attractive Asymptotic Properties2011 IEEE 4th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2011) , Dec 2011, San Juan, Puerto Rico. ⟨10.1109/CAMSAP.2011.6136011⟩
Communication dans un congrès
hal-00659869v1
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A review of non-Gaussian detectors on different sets of experimental data2nd SONDRA Workshop , May 2010, Cargèse, France
Communication dans un congrès
hal-00557918v1
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Robustness Analysis of Covariance Matrix Estimates18th European Signal Processing Conference (EUSIPCO 2010), Aug 2010, Aalborg, Denmark
Communication dans un congrès
hal-00555913v1
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Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009), Apr 2009, Taipei, Taiwan. pp.non communiqué, ⟨10.1109/ICASSP.2009.4960016⟩
Communication dans un congrès
hal-00447895v1
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Comparison of various detection schemes for STAP radar based on experimental data2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009), Oct 2009, Bordeaux, France
Communication dans un congrès
hal-00447905v1
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On Persymmetric Covariance Matrices in Adaptive Detection2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), Mar 2008, Las Vegas, United States. ⟨10.1109/ICASSP.2008.4518107⟩
Communication dans un congrès
hal-00353608v1
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A sirv-cfar adaptive detector exploiting persymmetric clutter covariance structure2008 IEEE Radar Conference, May 2008, Rome, Italy. pp.CD-ROM Proceedings, ⟨10.1109/RADAR.2008.4720921⟩
Communication dans un congrès
hal-00353600v1
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On a SIRV-CFAR detector with radar experimentations in impulsive noise14th European Signal Processing Conference (EUSIPCO 2006), Sep 2006, Florence, Italy
Communication dans un congrès
hal-02495014v1
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Propriété CFAR-Matrice du Détecteur BORD -Application Radar sur Signaux Expérimentaux non-GaussiensVingt-cinquième Colloque GRETSI 2005, Sep 2005, Louvain-la-Neuve, Belgique
Communication dans un congrès
hal-02495007v1
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Theoretical Analysis of an Improved Covariance Matrix Estimator in non-Gaussian Noise(ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., Mar 2005, Philadelphia, United States. pp.69-72, ⟨10.1109/ICASSP.2005.1415947⟩
Communication dans un congrès
hal-02495012v1
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Constant false alarm rate detection in Spherically Invariant Random Processes12th European Signal Processing Conference (EUSIPCO 2008), Sep 2004, Vienna, Austria
Communication dans un congrès
hal-02495011v1
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Radar Detection in Compound-Gaussian ClutterIEEE-RADAR-04, Oct 2004, Toulouse, France
Communication dans un congrès
hal-02495009v1
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Covariance Matrix Estimation in SIRV and Elliptical Processes and Their Applications in Radar DetectionIET. Modern Radar Detection Theory, chapter 8, Scitech Publishing, pp.295-332, 2015, 978-1-61353-199-0. ⟨10.1049/SBRA509E_ch⟩
Chapitre d'ouvrage
hal-01279530v1
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