Phaselift is robust to a constant fraction of arbitrary errors
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Publication:2627892
DOI10.1016/j.acha.2016.01.001zbMath1396.90063arXiv1502.04241OpenAlexW2224829387MaRDI QIDQ2627892
Publication date: 1 June 2017
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1502.04241
Semidefinite programming (90C22) Convex programming (90C25) Nonconvex programming, global optimization (90C26)
Related Items (4)
The numerics of phase retrieval ⋮ Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation ⋮ $$L^p$$ Continuity and Microlocal Properties for Pseudodifferential Operators ⋮ Robust phase retrieval via median-truncated smoothed amplitude flow
Uses Software
Cites Work
- Solving semidefinite-quadratic-linear programs using SDPT3
- Low rank matrix recovery from rank one measurements
- Stable optimizationless recovery from phaseless linear measurements
- Solving quadratic equations via phaselift when there are about as many equations as unknowns
- Adaptive estimation of a quadratic functional by model selection.
- Compressed sensing and matrix completion with constant proportion of corruptions
- PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
- Phase Retrieval via Wirtinger Flow: Theory and Algorithms
- Robust principal component analysis?
- Rank-Sparsity Incoherence for Matrix Decomposition
- SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
- Robust Matrix Decomposition With Sparse Corruptions
- Recovering Low-Rank Matrices From Few Coefficients in Any Basis
- Phase Retrieval via Matrix Completion
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