Reconstructing sparse exponential polynomials from samples: Difference operators, stirling numbers and hermite interpolation

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Prony’s method, in its various concrete algorithmic realizations, is concerned with the reconstruction of a sparse exponential sum from integer samples. In several variables, the reconstruction is based on finding the variety for a zero dimensional radical ideal. If one replaces the coefficients in the representation by polynomials, i.e., tries to recover sparse exponential polynomials, the zeros associated to the ideal have multiplicities attached to them. The precise relationship between the coefficients in the exponential polynomial and the multiplicity spaces are pointed out in this paper.

Cite

CITATION STYLE

APA

Sauer, T. (2017). Reconstructing sparse exponential polynomials from samples: Difference operators, stirling numbers and hermite interpolation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10521 LNCS, pp. 233–250). Springer Verlag. https://doi.org/10.1007/978-3-319-67885-6_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free