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We investigate how the choice of spatial point process for generating randomsampling patterns affects the numerical stability of non-uniform generalizedsampling between Fourier bases and Daubechies scaling functions. Specifically,we consider binomial, Poisson and determinantal point processes and demonstratethat the more regular point patterns from the determinantal point process aresuperior.

Investigations of the effects of random sampling patterns on the stability of generalized sampling