Learning algebraic decompositions using Prony structures

Autor(en): Kunis, Stefan 
Roemer, Tim 
von der Ohe, Ulrich
Stichwörter: EXPONENTIAL-SUMS; Mathematics; Mathematics, Applied; MULTIVARIATE; PARAMETER-ESTIMATION; SPARSE POLYNOMIAL INTERPOLATION; SUPERRESOLUTION
Erscheinungsdatum: 2020
Herausgeber: ACADEMIC PRESS INC ELSEVIER SCIENCE
Journal: ADVANCES IN APPLIED MATHEMATICS
Volumen: 118
Zusammenfassung: 
We propose an algebraic framework generalizing several variants of Prony's method and explaining their relations. This includes Hankel and Toeplitz variants of Prony's method for the decomposition of multivariate exponential sums, polynomials (w.r.t. the monomial and Chebyshev bases), GauBian sums, spherical harmonic sums, taking also into account whether they have their support on an algebraic set. (C) 2020 Elsevier Inc. All rights reserved.
ISSN: 01968858
DOI: 10.1016/j.aam.2020.102044

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geprüft am 17.05.2024

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