Le colloque Gretsi 2017 se structure autour de six th\u00e8mes principaux que l’on retrouve \u00e0 chaque \u00e9dition du colloque et de trois sessions sp\u00e9ciales sp\u00e9cifiques \u00e0 l’\u00e9dition 2017 du colloque.<\/p><\/blockquote>\n
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Th\u00e8mes g\u00e9n\u00e9raux<\/h2>\n1 – Repr\u00e9sentations et mod\u00e8les<\/h3>\n
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- 1.1 – Mod\u00e8les non stationnaires, non lin\u00e9aires, non gaussiens ou invariants d’\u00e9chelle<\/li>\n
- 1.2 – Mod\u00e8les adaptatifs ou \u00e9volutifs, apprentissage<\/li>\n
- 1.3 – Parcimonie, mod\u00e8les et m\u00e9thodes<\/li>\n
- 1.4 – Graphes en signal et image, mod\u00e8les graphiques, r\u00e9seaux de capteurs, graphes de terrains<\/li>\n
- 1.5 – Mod\u00e8les sp\u00e9cifiques de l’image, mod\u00e8les d\u00e9formables et g\u00e9om\u00e9triques, mod\u00e8les cognitifs et de perception<\/li>\n
- 1.6 – Autres mod\u00e8les<\/li>\n<\/ul>\n
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2 – Communication et codage<\/h3>\n
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- 2.1 – Th\u00e9orie de l’information<\/li>\n
- 2.2 – Codage et compression de sources multimedia, tatouage<\/li>\n
- 2.3 – Codage canal, turbo-traitements<\/li>\n
- 2.4 – Etalement de spectre, acc\u00e8s multiple, d\u00e9tection multi-utilisateurs<\/li>\n
- 2.5 – Transmissions multi-porteuses<\/li>\n
- 2.6 – Synchronisation, estimation<\/li>\n
- 2.7 – Coop\u00e9ration, Diversit\u00e9, R\u00e9seaux de capteurs<\/li>\n
- 2.8 – Syst\u00e8mes de communications<\/li>\n<\/ul>\n
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3 – Traitement et analyse<\/h3>\n
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- 3.1 – Filtrage et filtrage adaptatif<\/li>\n
- 3.2 – Analyse spectrale, temps-fr\u00e9quence<\/li>\n
- 3.3 – Ondelettes, trames et multir\u00e9solution<\/li>\n
- 3.4 – Traitement d’antenne<\/li>\n
- 3.5 – Probl\u00e8mes inverses, reconstruction<\/li>\n
- 3.6 – S\u00e9paration de sources<\/li>\n
- 3.7 – Restauration, d\u00e9convolution, d\u00e9bruitage<\/li>\n
- 3.8 – Analyse de s\u00e9quences<\/li>\n
- 3.9 – Analyse multicomposantes<\/li>\n<\/ul>\n
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4 – D\u00e9cision et Interpr\u00e9tation<\/h3>\n
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- 4.1 – D\u00e9tection et estimation statistiques<\/li>\n
- 4.2 – Segmentation et d\u00e9tection de ruptures<\/li>\n
- 4.3 – M\u00e9thodes bay\u00e9siennes<\/li>\n
- 4.4 – Reconnaissance des formes \/ Apprentissage<\/li>\n
- 4.5 – Fusion en signal et image<\/li>\n
- 4.6 – Indexation<\/li>\n
- 4.7 – R\u00e9seaux de neurones, techniques floues, th\u00e9ories non probabilistes<\/li>\n<\/ul>\n
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5 – Architectures mat\u00e9rielles et logicielles<\/h4>\n
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- 5.1 – Ad\u00e9quation algorithmes et architectures<\/li>\n
- 5.2 – Langages et outils de d\u00e9veloppement<\/li>\n
- 5.3 – Nouvelles technologies des circuits<\/li>\n
- 5.4 – Syst\u00e8mes temps r\u00e9el embarqu\u00e9s<\/li>\n<\/ul>\n
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6 – Applications<\/h3>\n
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- 6.1 – Radar et Sonar<\/li>\n
- 6.2 – Son, parole, musique<\/li>\n
- 6.3 – Bio-ing\u00e9ni\u00e9rie et sciences de la vie<\/li>\n
- 6.4 – Physique et g\u00e9ophysique<\/li>\n
- 6.5 – T\u00e9l\u00e9d\u00e9tection et spatial<\/li>\n
- 6.6 – Multimedia<\/li>\n
- 6.7 – Contr\u00f4le non destructif, surveillance<\/li>\n
- 6.8 – Histoire de la discipline, enjeux soci\u00e9taux et \u00e9thiques<\/li>\n<\/ul>\n
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Sessions sp\u00e9ciales<\/h2>\n
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