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The phase retrieval problem has garnered significant attention since the development of the PhaseLift algorithm, which is a convex program that operates in a lifted space of matrices.
Solving quadratic equations via phaselift when there are about as many equations as unknowns
Emmanuel J Candès and Xiaodong Li · 2012
Earlier work this paper cites.
Introduction to the non-asymptotic analysis of random matrices
R. Vershynin · 2012
Earlier work this paper cites.
Phase retrieval via matrix completion
E. Candès, Y. Eldar, T. Strohmer, and V. Voroninski · 2013
Earlier work this paper cites.
Phaselift: Exact and stable signal recovery from magnitude measurements via convex programming
Emmanuel J Candès, Thomas Strohmer, and Vladislav Voroninski · 2013
Earlier work this paper cites.
Phase retrieval using alternating minimization
Praneeth Netrapalli, Prateek Jain, and Sujay Sanghavi · 2013
Cited alongside, same era.
Phase retrieval via wirtinger flow: Theory and algorithms
Emmanuel J Candes, Xiaodong Li, and Mahdi Soltanolkotabi · 2015
Cited alongside, same era.
Solving random quadratic systems of equations is nearly as easy as solving linear systems
Yuxin Chen and Emmanuel Candes · 2015
Cited alongside, same era.
Phase retrieval meets statistical learning theory: A flexible convex relaxation
Sohail Bahmani and Justin Romberg · 2016
Cited alongside, same era.
Phasemax: Convex phase retrieval via basis pursuit
Tom Goldstein and Christoph Studer · 2016
Closest in time.
A geometric analysis of phase retrieval
Ju Sun, Qing Qu, and John Wright · 2016
Closest in time.
Solving systems of random quadratic equations via truncated amplitude flow
Gang Wang, Georgios B Giannakis, and Yonina C Eldar · 2016
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