Objective
The aim of the proposed network is to develop research activities and systematic interactions in areas of mathematical analysis and statistics directly connected to signal and image processing. While standard research is carried out at an international level at all participating institutions in cooperation with their individual partners the proposal is going for integration at a higher level. Thus it is one of the declared goals of HASSIP to shorten the development cycle for new algorithms by bringing together those who are involved in this process: mathematicians and physicists working on the foundations applications, and partners doing applied research. High tech industry worldwide is in need for know how and trained people in this area, and has shown very strong interest in our programme. Different companies having already well-established contacts to the network partners will be associated with the network. . The main research goal is therefore to improve the necessary understanding of signal processing tools which is necessary to strengthen the link between the foundations and real word applications, by developing new non- standard algorithms, by studying their behavior on concrete tasks, and to look for innovative ways to circumvent shortcomings or satisfy additional request arising from the applications. In doing so we expect to stimulate research in this area and the interactions in theoretical and applied domain. From the mathematical point of view, the main domains which will be studied HASSIP teams are:
- Time-frequency and time-scale expansions, and corresponding algorithms
- Adaptive and structured decompositions
- Statistical models and methods. The target applications will be in the following domains:
- Biomedical signal and image processing
- Signal and image analysis for multimedia applications
- Signal and image restoration, non standard denoising methods.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- natural sciencesmathematicspure mathematicsmathematical analysis
- natural sciencesmathematicsapplied mathematicsstatistics and probability
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Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
NET - Research network contractsCoordinator
13453 MARSEILLE
France