  We investigate how the choice of spatial point process for generating random
sampling patterns affects the numerical stability of non-uniform generalized
sampling between Fourier bases and Daubechies scaling functions. Specifically,
we consider binomial, Poisson and determinantal point processes and demonstrate
that the more regular point patterns from the determinantal point process are
superior.
