Section: Other Grants and Activities
HASSIP Research Training Network
The HASSIP (Harmonic Analysis, Statistics in Signal and Image Processing) Research Training Network is a European network funded by the European Commission within the framework programme Improving the Human Potential . It started on October 1st 2002, with founding partners: Université de Provence/CNRS, University of Vienna, Cambridge University, Université Catholique de Louvain, EPFL, University of Bremen, University of Munich and Technion Institute.
One of the aims of the HASSIP network is to shorten the development cycle for new algorithms by bringing together those who are involved in this process: the mathematicians and physicists working on the foundations (with view towards applications), the partners doing applied research (mostly engineering departments), are more experienced when it comes to implementations. The main research goal is therefore to improve the link between the foundations and real word applications, by developing new nonstandard algorithms, by studying their behaviour on concrete tasks, and to look for innovative ways to circumvent shortcomings or satisfy additional request arising from the applications.
The main contributions of the METISS project-team at IRISA consisted in new statistical models of audio signals for coding and source separation, theoretical contributions on time-frequency/time-scale analysis and (highly) nonlinear approximation with redundant dictionaries, as well as the Matching Pursuit ToolKit 5.3 .
The HASSIP network final meeting took place in september 2006.
PAI Germaine de Stael with EPFL
A bilateral collaboration with the Signal Processing group (LTS2) led by Pierre Vandergheynst at EPFL (Switzerland) was initiated within the HASSIP European network. Since 2005, thanks to bilateral funding by the foreign affairs ministry, the collaboration has been reinforced, and has lead to several student exchanges and academic visits, including a two month visit of Rémi Gribonval at EPFL in the summer of 2006. The collaboration resulted so far in joint theoretical contributions on sparse signal approximation, as well as on multimodal audiovisual signal analysis. Since the fall of 2005, a co-supervised Ph.D. thesis (Boris Mailhé) has started to reinforce even more the collaboration. A proposal to build an INRIA Associated Team has been submitted to strengthen and build upon this collaboration in the coming years, one of the most interesting aspects being the complementary competences in audio (METISS) and image/video (LTS2) applications of sparse signal models.