Stability of Phase Retrieval Problem

Publication date

2019-08-01

Authors

Salanevich, PalinaORCID 0000-0003-2436-9331ISNI 0000000507309534

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Abstract

Phase retrieval is a non-convex inverse problem of signal reconstruction from intensity measurements with respect to a measurement frame. One of the main problems in phase retrieval is to determine for which frames the associated phaseless measurement map is injective and stable. In this paper we address the question of stability of phase retrieval for two classes of random measurement maps, namely, frames with independent frame vectors satisfying bounded fourth moment assumption and frames with no independence assumptions. We propose a new method based on the frame order statistics, which can be used to establish stability of the measurement maps for other classes of frames.

Keywords

Extraterrestrial measurements, Phase measurement, Stability analysis, Numerical stability, Inverse problems, Image reconstruction, Noise measurement, inverse problems, signal reconstruction, statistical analysis, vectors, Taverne, Statistics and Probability, Signal Processing, Analysis, Statistics, Probability and Uncertainty, Applied Mathematics

Citation

Salanevich, P 2019, Stability of Phase Retrieval Problem. in 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019. IEEE, 13th International Conference on Sampling Theory and Applications, SampTA 2019, Bordeaux, France, 8/07/19. https://doi.org/10.1109/SampTA45681.2019.9031013, conference