Výsledky vyhledávání - "Sylvie Marcos"

Akademický článek

High-Resolution Source Localization Algorithm Based on the Conjugate Gradient

Autor: Sylvie Marcos, Hocine Belkacemi, Hichem Semira

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)

This paper proposes a new algorithm for the direction of arrival (DOA) estimation of P radiating sources. Unlike the classical subspace-based methods, it does not resort to the eigendecomposition of the covariance matrix of the received data. Indeed,

Externí odkaz: https://doaj.org/article/a07043b95203477e8e0bc6ddc979516a

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Unknown-length motif discovery methods in environmental monitoring time series

Autor: Lisa PoiriernHerbeck, Elisabeth Lahalle, Nicolas Saurel, Sylvie Marcos

Publikováno v: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Jul 2022, Prague, Czech Republic. pp.1-5, ⟨10.1109/ICECET55527.2022.9873093⟩

International audience; The search for information of interest in massive time series is crucial in many industrial applications. Companies need their data to be analyzed or modeled in real time, which often requires to extract some patterns, also re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::672088edcf9abae88ac5128eb7eb1ba6
https://centralesupelec.hal.science/hal-03866092/document

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Statistical Approach based Optimization for the Application of Chaotic Sequences to Radar

Autor: Sylvie Marcos, Zouhair Ben Jemaa, Safya Belghith

Publikováno v: 28th European Signal Processing Conference (EUSIPCO) 2020
28th European Signal Processing Conference (EUSIPCO) 2020, Jan 2021, Amsterdam, Netherlands. ⟨10.23919/Eusipco47968.2020.9287461⟩
EUSIPCO

International audience; In this paper, we consider chaotic sequences as an alternative to other sequences in the literature for the design of radar waveforms in multiple-input multiple-output (MIMO) radar. For this aim we here adopt a statistical app

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07db0ebe90210b2a127612f3ab2f2830
https://hal-centralesupelec.archives-ouvertes.fr/hal-02935416

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Optimization of the Radar Ambiguity Function-Application to Chaotic Sequences: Invited Paper

Autor: Zouhair Ben Jemaa, Safya Belghith, Sylvie Marcos

Publikováno v: WINCOM

In this paper we propose a statistical approach for the optimization of the phased codes used in radar. By considering each code as a realization of a random variable we show that we can build good codes if the distribution of the random variable is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d9b853e2e8adba4842238c32c374f035
https://doi.org/10.1109/wincom47513.2019.8942484

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Robust Orthogonal Matching Pursuit Detector Applications to off-grid target issues in MIMO Radar

Autor: Mathieu Cattenoz, Laurent Savy, Sylvie Marcos

Publikováno v: International Radar Conference (RADAR 2019)
International Radar Conference (RADAR 2019), Sep 2019, Toulon, France

International audience; The paper proposes to solve the off-grid issue arising in sparse processing involving Orthogonal Matching Pursuit (OMP) algorithm. It starts by establishing the Generalized Likelihood Ratio Test using a stochastic model to rep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6bdffac76c5c85db29ecc6fd5f03536
https://hal-centralesupelec.archives-ouvertes.fr/hal-02285381/document

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Akademický článek

Performance analysis of distributed source parameter estimator (DSPE) in the presence of modeling errors due to the spatial distributions of sources

Autor: Wenmeng, Xiong, José, Picheral, Sylvie, Marcos

Publikováno v: In Signal Processing February 2018 143:146-151

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A statistical approach to the optimization of the radar ambiguity function and the chaos-based waveform design

Autor: Sylvie Marcos, Safya Belghith, Zouhair Ben Jemaa

Publikováno v: Signal Processing
Signal Processing, Elsevier, 2020, 175, pp.107649. ⟨10.1016/j.sigpro.2020.107649⟩

International audience; In this paper we adopt a statistical approach to optimize the ambiguity function of a radar system. By considering the codes defining the transmitted waveform as realizations of a random variable we firstly show that a suitabl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a21db14f86b8e5c4e2475932954a5a
https://doi.org/10.1016/j.sigpro.2020.107649

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Extended orthogonal matching pursuit for robust and fast target localisation in multiple-input multiple-output radar

Autor: Laurent Savy, Mathieu Cattenoz, Sylvie Marcos

Publikováno v: IET Radar Sonar and Navigation
IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2017, 11 (11), p. 1709-1717. ⟨10.1049/iet-rsn.2017.0008⟩

International audience; The multiple-input multiple-output (MIMO) radar combines ultra-wide angular illumination on transmit and narrow transmission angular resolution after processing on receive. Orthogonal waveforms are needed in theory for all ind

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73725e85e13885ff899a483084992779
https://hal.archives-ouvertes.fr/hal-01664640/document

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Robustness of the coherently distributed MUSIC algorithm to the imperfect knowledge of the spatial distribution of the sources

Autor: Sylvie Marcos, José Picheral, Wenmeng Xiong

Publikováno v: Signal, Image and Video Processing
Signal, Image and Video Processing, Springer Verlag, 2017, 11 (4), pp.721-728. ⟨10.1007/s11760-016-1015-1⟩

International audience; The MUltiple SIgnal Classification (MUSIC) estimator has been widely studied for a long time for its high resolution capabilities in the domain of the directional of arrival (DOA) estimation, with the sources assumed to be poi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703e08a67ee4813aef4d8e2a943bf055
https://hal-centralesupelec.archives-ouvertes.fr/hal-01498980

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Array Geometry Impact on Music in the Presence of Spatially Distributed Sources

Autor: Jos Picheral, Wenmeng Xiong, Sylvie Marcos

Publikováno v: Digital Signal Processing
Digital Signal Processing, Elsevier, 2017, 63, pp.155-163. 〈10.1016/j.dsp.2017.01.001〉
Digital Signal Processing, Elsevier, 2017, 63, pp.155-163. ⟨10.1016/j.dsp.2017.01.001⟩

International audience; The MUltiple SIgnal Classification (MUSIC) estimator has been widely studied for a long time for its high resolution capability in the domain of the direction of arrival (DOA) estimation, with the sources assumed to be point.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9307ed4d44677041499d242157ed5ee9
https://hal-centralesupelec.archives-ouvertes.fr/hal-01349526v2/document

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