Stable phase retrieval in function spaces
D. Freeman, T. Oikhberg, B. Pineau, and M.A. Taylor

TL;DR
This paper investigates stable phase retrieval in function spaces, constructing subspaces with this property, connecting it to $ ext{Lambda}(p)$-set theory, and establishing foundational results for broader analysis.
Contribution
It introduces the concept of stable phase retrieval in function spaces, constructs examples, and links it to $ ext{Lambda}(p)$-set theory, while improving stability bounds and characterizing certain function spaces.
Findings
Constructed various subspaces with stable phase retrieval
Connected stable phase retrieval to $ ext{Lambda}(p)$-set theory
Improved stability bounds for phase retrieval
Abstract
Let be a measure space, and . A subspace is said to do stable phase retrieval (SPR) if there exists a constant such that for any we have In this case, if is known, then is uniquely determined up to an unavoidable global phase factor ; moreover, the phase recovery map is -Lipschitz. Phase retrieval appears in several applied circumstances, ranging from crystallography to quantum mechanics. In this article, we construct various subspaces doing stable phase retrieval, and make connections with -set theory. Moreover, we set the foundations for an analysis of stable phase retrieval in general function spaces. This, in particular, allows us to show that H\"older stable phase retrieval implies stable phase…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced X-ray Imaging Techniques
