Objective A fundamental problem in signal processing is designing models, which are theoretically sound, practical to implement, and describe well the variability of real-world signals. Finding accurate models of signals sets the foundation to state of the art signal analysis, filtering, prediction, and noise suppression. In recent years there has been a considerable effort to derive data-driven modeling schemes based on low dimensional geometric analysis, however, several aspects have not yet been thoroughly addressed. For example, measuring the same phenomena several times usually yields different signal realizations. In addition, the same phenomena can be measured using multiple types of instruments. As a result, each set of related signal measurements of the same phenomenon will have a different geometric structure; this poses a limitation to geometric analysis methods. The goal of this project is to delve into these aspects and to devise empirical intrinsic models for nonlinear signal processing, which are noise resilience and invariant to the observation modality. Intrinsic models may bring significant benefits to numerous applications without existing definitive representations by enabling the fusion of similar phenomena partially observed through different modalities. The availability of intrinsic models will allow for the design of new processing methodologies that take advantage of the intrinsic properties, e.g. noise robustness and low dimensionality. I will examine both theoretical and practical aspects as well as develop tools designed to push forward the applicability of geometric analysis. Combining my experience with the expertise in related fields provided by the host institution will allow to advance the current state of the art in geometric signal analysis and nonlinear signal processing as well as nurture collaborations within Europe and abroad. Fields of science engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2013-CIG - Marie-Curie Action: "Career Integration Grants" Call for proposal FP7-PEOPLE-2013-CIG See other projects for this call Funding Scheme MC-CIG - Support for training and career development of researcher (CIG) Coordinator TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY EU contribution € 100 000,00 Address SENATE BUILDING TECHNION CITY 32000 Haifa Israel See on map Activity type Higher or Secondary Education Establishments Administrative Contact Mark Davison (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
