Nov 30, 2020 · This paper adopts an amplitude-based nonconvex optimization cost function to develop a new stochastic gradient algorithm, named stochastic ...
This paper adopts an amplitude-based nonconvex optimization cost function to develop a new stochastic gradient algorithm, named stochastic reweighted phase.
Abstract: Phase retrieval, recovering a signal from phaseless measurements, is generally considered to be an NP-hard problem.
Sep 3, 2021 · We report an efficient large-scale phase retrieval technique termed as LPR. It extends the plug-and-play generalized-alternating-projection framework from real ...
Missing: Stochastic | Show results with:Stochastic
Abstract—This paper deals with finding an n-dimensional so- lution x to a system of quadratic equations of the form yi =.
This paper puts forth a novel linear-time algorithm termed reweighted amplitude flow (RAF) for solving high-dimensional random systems of quadratic equations.
In computational phase imaging, phase retrieval (PR) is required to reconstruct both amplitude and phase in complex space from intensity-only measurements. The ...
Dec 9, 2022 · In this paper, we focus on Stochastic Amplitude Flow (SAF) for phase retrieval, a stochastic gradient descent for the amplitude-based ...
Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow (2016); Low rank matrix recovery from Clifford orbits (2016) ...
Dec 9, 2022 · In this paper, we focus on Stochastic Amplitude Flow (SAF) for phase retrieval, a stochastic gradient descent for the amplitude-based squared ...
Missing: Large- Scale Reweighted