709 citations
- Centre National de la Recherche ScientifiqueFR137 papers
- Université Toulouse III - Paul SabatierFR132 papers
- Université de ToulouseFR103 papers
- Institut de Recherche en Informatique de ToulouseFR101 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR65 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR61 papers
- Université Toulouse - Jean JaurèsFR44 papers
- Institut Polytechnique de BordeauxFR43 papers
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- Data Management (Italy)IT24 papers
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5 papers · 1 filter
Differential influence of instruments in nuclear core activity evaluation by data assimilation
Bertrand Bouriquet, Jean-Philippe Argaud, Patrick Erhard +4
The global activity fields of a nuclear core can be reconstructed using data assimilation. Data assimilation allows to combine measurements from instruments, and information from a…
Robustness of nuclear core activity reconstruction by data assimilation
Bertrand Bouriquet, Jean-Philippe Argaud, Patrick Erhard +4
We apply a data assimilation techniques, inspired from meteorological applications, to perform an optimal reconstruction of the neutronic activity field in a nuclear core. Both mea…
Polychronous Interpretation of Synoptic, a Domain Specific Modeling Language for Embedded Flight-Software
L. Besnard, T. Gautier, J. Ouy +9
The SPaCIFY project, which aims at bringing advances in MDE to the satellite flight software industry, advocates a top-down approach built on a domain-specific modeling language na…
Enhancing hyperspectral image unmixing with spatial correlations
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret
This paper describes a new algorithm for hyperspectral image unmixing. Most of the unmixing algorithms proposed in the literature do not take into account the possible spatial corr…
Implementation strategies for hyperspectral unmixing using Bayesian source separation
Frederic Schmidt, Albrecht Schmidt, Erwan Treguier +3
Bayesian Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ens…