Objective
Picking a role model is a natural way of deciding what to do by emulating a person we admire: children look up to superheroes; chemists and physicists follow Marie Curie. When faced with a difficult choice, solving the problem on our own may seem difficult. Instead, we seek shelter behind our role model and try to imagine what Superman or Marie Curie would have done. There is a parallel to this approach in statistical signal processing. Consider the design of an estimator based on low quality observations. Bayesian theory dictates rules for the optimal design of such an estimator. Suppose there exists a better estimator that has access to superior observations. We can use this better estimator as a role model, and train our estimator to imitate its outputs. Under certain conditions, we have proved that this role-model approach gives the same optimal solution as the Bayesian approach, albeit with a different design methodology that is easier to implement. The motivation for this approach is in adaptive receiver design for wireless communications. During the proposed fellowship, we plan to extend the theory for the role-model framework, to refine its application to receiver design, to study its connection with other problems in information theory, and to investigate possible interdisciplinary applications. For wireless communications, the project will result in optimized low-complexity receiver structures that can save power, increase radio coverage and data integrity, and reduce the cost of mobile handsets. Further applications of role models may include computer science, risk assessment, image processing, and others.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences computer and information sciences
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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-IEF-2008
See other projects for this call
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.
Coordinator
CB2 1TN CAMBRIDGE
United Kingdom
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.