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Article type: Research Article
Authors: Matei, Basarab
Affiliations: Université Paris 13, Sorbonne Paris Cité, LIPN, CNRS (UMR7030), Villetaneuse, 93430, France. E-mail: matei@lipn.univ-paris13.fr
Abstract: In this paper we are concerned with the reconstruction of a class of measures on the square from the sampling of its Fourier coefficients on some sparse set of points. We show that the exact reconstruction of a weighted Dirac sum measure is still possible when one knows a finite number of non-adaptive linear measurements of the spectrum. Surprisingly, these measurements are defined on a model set, i.e. quasicrystal.
Keywords: Fourier analysis, irregular sampling theory
DOI: 10.3233/ASY-151353
Journal: Asymptotic Analysis, vol. 97, no. 3-4, pp. 291-299, 2016
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