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The generic crystallographic phase retrieval problem

Functional Analysis 2026-05-04 v3 Information Theory Algebraic Geometry math.IT

Abstract

In this paper we consider the problem of recovering a signal xRNx \in \mathbb{R}^N from its power spectrum assuming that the signal is sparse with respect to a generic basis for RN\mathbb{R}^N. Our main result is that if the sparsity level is at most  ⁣N/2\sim\! N/2 in this basis then the generic sparse vector is uniquely determined up to sign from its power spectrum. We also prove that if the sparsity level is  ⁣N/4\sim\! N/4 then every sparse vector is determined up to sign from its power spectrum. Analogous results are also obtained for the power spectrum of a vector in CN\mathbb{C}^N which extend earlier results of Wang and Xu \cite{arXiv:1310.0873}.

Cite

@article{arxiv.2307.06835,
  title  = {The generic crystallographic phase retrieval problem},
  author = {Dan Edidin and Arun Suresh},
  journal= {arXiv preprint arXiv:2307.06835},
  year   = {2026}
}

Comments

20 pages

R2 v1 2026-06-28T11:29:32.527Z