Numerical reconstruction from the Fourier transform on the ball using prolate spheroidal wave functions

Abstract

We implement numerically formulas of [Isaev, Novikov, arXiv:2107.07882] for finding a compactly supported function $v$ on ${\mathbb{R}}^d$, $d\ge 1$, from its Fourier transform $\mathcal{F}[v]$ given within the ball $B_r$. For the one-dimensional case, these formulas are based on the theory of prolate spheroidal wave functions, which arise, in particular, in the singular value decomposition of the aforementioned band-limited Fourier transform for $d=1$. In multidimensions, these formulas also include inversion of the Radon transform. In particular, we give numerical examples of super-resolution, that is, recovering details beyond the diffraction limit.

References in corpus (1)

• Numerical comparison of iterative and functional-analytical algorithms for inverse acoustic scattering