English

Stability estimates for phase retrieval from discrete Gabor measurements

Numerical Analysis 2021-11-11 v4 Information Theory Numerical Analysis Signal Processing Functional Analysis math.IT

Abstract

Phase retrieval refers to the problem of recovering some signal (which is often modelled as an element of a Hilbert space) from phaseless measurements. It has been shown that in the deterministic setting phase retrieval from frame coefficients is always unstable in infinite-dimensional Hilbert spaces [7] and possibly severely ill-conditioned in finite-dimensional Hilbert spaces [7]. Recently, it has also been shown that phase retrieval from measurements induced by the Gabor transform with Gaussian window function is stable under a more relaxed semi-global phase recovery regime based on atoll functions [1]. In finite dimensions, we present first evidence that this semi-global reconstruction regime allows one to do phase retrieval from measurements of bandlimited signals induced by the discrete Gabor transform in such a way that the corresponding stability constant only scales like a low order polynomial in the space dimension. To this end, we utilise reconstruction formulae which have become common tools in recent years [6,12,18,20].

Keywords

Cite

@article{arxiv.1901.05296,
  title  = {Stability estimates for phase retrieval from discrete Gabor measurements},
  author = {Rima Alaifari and Matthias Wellershoff},
  journal= {arXiv preprint arXiv:1901.05296},
  year   = {2021}
}

Comments

24 pages, 4 figures; Some small corrections of typos and minor mathematical errors. Added Examples 3.8 and 3.9

R2 v1 2026-06-23T07:13:23.536Z