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On sharp stable recovery from clipped and folded measurements
by P. Abdalla and D. Freeman and J. Ramos and M. Taylor
(Report number 2025-19)
Abstract
We investigate the stability of vector recovery from random linear measurements which have been either clipped or folded. This is motivated by applications where measurement devices detect inputs outside of their effective range. As examples of our main results, we prove sharp lower bounds on the recovery constant for both the declipping and unfolding problems whenever samples are taken according to a uniform distribution on the sphere. Moreover, we identify (almost) optimal conditions on both the number of samples and the distribution of the data for these estimates to hold, and we prove that such estimates are the best that any frame of normalized vectors can achieve. We then show that all of the above results have suitable (effectively) sparse counterparts. In the special case that one restricts the stability analysis to vectors which belong to the unit sphere of \(\mathbb{R}^n\), we show that the problem of declipping directly extends the one-bit compressed sensing results of Oymak-Recht and Plan-Vershynin.
Keywords: Saturation recovery, Unlimited sampling
BibTeX
@Techreport{AFRT25_1140,
author = {P. Abdalla and D. Freeman and J. Ramos and M. Taylor},
title = {On sharp stable recovery from clipped and folded measurements},
institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich},
number = {2025-19},
address = {Switzerland},
url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2025/2025-19.pdf },
year = {2025}
}
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