Objetivo Separation/extraction of sources are wide concepts in information sciences, since sensors provide information mixing and an essential step consists in separating or extracting useful information from unuseful one, called noise. In this project, we consider three challenges.The first one is the multimodality. Indeed, with the multiplication of kinds of sensors, in many areas like biomedical signal processing, hyperspectral imaging, etc. there are many ways for recording the same physical phenomenon leading thus to multimodal data. Multimodality has been studied in the framework of human-computer interface or in data fusion, but never at the signal level. The objective is to provide a general framework for modeling classical multimodal properties, like complementarity, redundancy, equivalence, etc. as of function of source signals.The second challenge is nonlinearity. Indeed, there exist a few cases where the mixtures are essentially nonlinear, e.g. with chemical sensors. The main objective is to enlarge results on identifiability conditions for new classes of nonlinearities and priors on sources.The third challenge is the data size. For high-dimension data (e.g. EEG or MRI in brain imaging), separating all the sources is neither tractable nor relevant, since one would like to only extract the useful sources. Conversely, for a small number of sensors, especially smaller than the number of sources, it is again necessary to only focus on the useful signals. The main objective is to develop generic approaches able to only extract useful signals, based on simple reference signal, modeling weak properties of the useful signal.Finally, validation and relevant modeling must be based on actual signals and problems. In this project, theoretical results and algorithms will be developed in interaction with applications in biomedical engineering (brain-computer interface, EEG, fMRI), chemical engineering, audio-visual scene analysis and hyperspectral imaging. Ámbito científico natural sciencescomputer and information sciences Programa(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Tema(s) ERC-AG-PE7 - ERC Advanced Grant - Systems and communication engineering Convocatoria de propuestas ERC-2012-ADG_20120216 Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-AG - ERC Advanced Grant Institución de acogida UGA-Université Grenoble Alpes Aportación de la UE € 2 499 390,00 Dirección 621, AVENUE CENTRALE 38401 SAINT MARTIN D'HERES Francia Ver en el mapa Región RUP FR — Régions Ultrapériphériques Françaises Guadeloupe Guadeloupe Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Aurélie Diringer-Dagorne (Ms.) Investigador principal Christian Patrice Jutten (Prof.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos Beneficiarios (2) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo UGA-Université Grenoble Alpes Francia Aportación de la UE € 2 499 390,00 Dirección 621, AVENUE CENTRALE 38401 SAINT MARTIN D'HERES Ver en el mapa Región RUP FR — Régions Ultrapériphériques Françaises Guadeloupe Guadeloupe Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Aurélie Diringer-Dagorne (Ms.) Investigador principal Christian Patrice Jutten (Prof.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos UNIVERSITE JOSEPH FOURIER GRENOBLE 1 La participación finalizó Francia Aportación de la UE Sin datos Dirección Avenue Centrale, Domaine Universitaire 621 38041 GRENOBLE Ver en el mapa Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Yann Leroux (Mr.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos