Sampling at twice the Nyquist rate in two frequency bins guarantees uniqueness in Gabor phase retrieval
Matthias Wellershoff
TL;DR
This work proves that sampling the magnitudes of the Gabor transform at two frequency bins spaced by $\omega_1-\omega_0>0$ and at a rate $1/(4B)$ uniquely determines a bandlimited signal $f \in \mathrm{PW}_B^2$ up to a global phase. The method translates the problem to the Bargmann transform, reducing it to recovering a second-order entire function from magnitude data on two parallel lines; a Hadamard factorization argument shows uniqueness up to a phase unless an evenly spaced zero sequence occurs, which is ruled out by a Müntz–Szász type completeness result for the bandlimited Fourier support. Consequently, $f$ and any other $g$ yielding the same magnitudes must satisfy $f \sim g$. The result extends prior Gabor phase retrieval findings and aligns with analogous outcomes for Cauchy wavelets, providing a practical two-bin sampling scheme for unique reconstruction of bandlimited signals.
Abstract
We show that bandlimited signals can be uniquely recovered (up to a constant global phase factor) from Gabor transform magnitudes sampled at twice the Nyquist rate in two frequency bins.
