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EXPOnential analysis emPOWERing innovation

Project
The EXPOWER project combines a broad spectrum of key research and training activities on Multi-Exponential Analysis with applications in industry, that are currently being undertaken in some premier research institutes. The network is interdisciplinary, intersectoral, unconventional and ambitious. It is unconventional in the sense that it connects stakeholders from seemingly separately developed fields: computational harmonic analysis, numerical linear algebra, computer algebra, nonlinear approximation theory, digital signal processing and their applications, in one and more variables. It is ambitious because the consortium stretches from mathematics to computational science and engineering and industry. Multi-exponential analysis might sound remote, but it touches our daily lives in many surprising ways, even if most people are unaware of how important it is. For example, a substantial amount of effort in signal processing and time series analysis is essentially dedicated to the analysis of multi-exponential functions. Multi-exponential analysis is also fundamental to several research fields and application domains that are the subject of the EXPOWER proposal: remote sensing, antenna design, digital imaging, testing and metrology, all impacting some major societal or industrial challenges such as energy, transportation, space research, health and telecommunications. The EXPOWER Beneficiaries and Third Country Partners, each bringing in their own complementary expertise, aim at solving some core challenges where the different domains involved with multi-exponential analysis meet. We target game-changing breakthroughs that will deliver a competitive advantage to industry. The EXPOWER project connects 10 countries, 9 universities, 3 international research institutes and 8 companies to explore this highly relevant thematic.
  • Overview
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Overview

Contributor (7)

COTRONEI Mariantonia   Scientific Manager  
BATTAGLIA Giada Maria   Participant  
BEVACQUA Martina Teresa   Participant  
ISERNIA Tommaso   Participant  
MORABITO Andrea Francesco   Participant  
Mercuri Marco   Participant  
PALMERI Roberta   Participant  

Representatives

SANTACATERINA Santo   Administrative  

Leading department

Dipartimento di Ingegneria dell'Informazione, delle Infrastrutture e dell'Energia Sostenibile   Principale  

Term type

Horizon

Financier

European Commission
Funding Organization

Partner (10)

National Institutes of Health (NIH)
National Taiwan University
Netherlands Institute for Radio Astronomy (ASTRON)
Smarts S.r.l.
Stellenbosch University
University of Delaware
University of Stirling
University of Waterloo
Università degli Studi di REGGIO CALABRIA
Université de Lille

Date/time interval

October 1, 2021 - September 30, 2026

Project duration

60 months

Research

Concepts (5)


PE1_18 - Numerical analysis - (2024)

PE1_19 - Scientific computing and data processing - (2024)

PE1_21 - Application of mathematics in sciences - (2024)

PE1_22 - Application of mathematics in industry and society - (2024)

Settore MATH-05/A - Analisi numerica

Free text keywords (5)

  • ascendant
  • decrescent
multi-scale techniques
Rational approximation
antenna design
remote sensing
sparse interpolation
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Contact

Web site

https://expower.eu/
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