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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-CIG
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
32000 Haifa
Israel
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.