Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers

DOI10.1109/TIT.2018.2847695zbMath1431.94028arXiv1603.03805OpenAlexW2963077884WikidataQ129654432 ScholiaQ129654432MaRDI QIDQ4562321

Yuejie Chi, Yingbin Liang, Huishuai Zhang

Publication date: 19 December 2018

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.03805

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) Applications of mathematical programming (90C90) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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A Generalization of Wirtinger Flow for Exact Interferometric Inversion ⋮ Robust amplitude method with \(L_{1/2}\)-regularization for compressive phase retrieval ⋮ PhaseMax: Stable guarantees from noisy sub-Gaussian measurements ⋮ Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation ⋮ Fast rank-one alternating minimization algorithm for phase retrieval ⋮ Robust phase retrieval via median-truncated smoothed amplitude flow ⋮ A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization

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