The generic crystallographic phase retrieval problem

Fuente: arXiv
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Main Authors: Edidin, Dan, Suresh, Arun
Format: Preprint
Published: 2023
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_version_ 1866918476510134272
author Edidin, Dan
Suresh, Arun
author_facet Edidin, Dan
Suresh, Arun
contents In this paper we consider the problem of recovering a signal $x \in \mathbb{R}^N$ from its power spectrum assuming that the signal is sparse with respect to a generic basis for $\mathbb{R}^N$. Our main result is that if the sparsity level is at most $\sim\! N/2$ 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 $\sim\! N/4$ 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 $\mathbb{C}^N$ which extend earlier results of Wang and Xu \cite{arXiv:1310.0873}.
format Preprint
id arxiv_https___arxiv_org_abs_2307_06835
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The generic crystallographic phase retrieval problem
Edidin, Dan
Suresh, Arun
Functional Analysis
Information Theory
Algebraic Geometry
42A10, 94A12, 94A15
In this paper we consider the problem of recovering a signal $x \in \mathbb{R}^N$ from its power spectrum assuming that the signal is sparse with respect to a generic basis for $\mathbb{R}^N$. Our main result is that if the sparsity level is at most $\sim\! N/2$ 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 $\sim\! N/4$ 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 $\mathbb{C}^N$ which extend earlier results of Wang and Xu \cite{arXiv:1310.0873}.
title The generic crystallographic phase retrieval problem
topic Functional Analysis
Information Theory
Algebraic Geometry
42A10, 94A12, 94A15
url https://arxiv.org/abs/2307.06835