Exponential Analysis: Theoretical Progress and Technological Innovation (Dagstuhl Seminar 22221)
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 have been the subject of this Dagstuhl seminar: remote sensing, antenna design, digital imaging, all impacting some major societal or industrial challenges such as energy, transportation, space research, health and telecommunications. This Seminar connected 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.
inverse problem
remote sensing
sparse interpolation
spectral analysis
structured matrices
Mathematics of computing~Computations on polynomials
Mathematics of computing~Interpolation
Mathematics of computing~Numerical analysis
170-187
Regular Paper
Annie
Cuyt
Annie Cuyt
University of Antwerp, BE
Wen-shin
Lee
Wen-shin Lee
University of Stirling, GB
Gerlind
Plonka-Hoch
Gerlind Plonka-Hoch
UniversitĂ¤t GĂ¶ttingen, DE
Ferre
Knaepkens
Ferre Knaepkens
University of Antwerp, BE
10.4230/DagRep.12.5.170
Annie Cuyt, Wen-shin Lee, Gerlind Plonka-Hoch, and Ferre Knaepkens
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/legalcode