CORDIS Project
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This project addresses the challenges of separating useful information from noise in multimodal data sources. It aims to develop generic approaches for signal extraction in various fields, including biomedical engineering and chemical analysis, focusing on nonlinearity and data size.
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 phenomen…
UGA-Université Grenoble Alpes
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France, GRENOBLE
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
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