Phase Retrieval of Low-Rank Matrices by Anchored Regression
Information and Inference: A Journal of the IMA(2020)
摘要
We study the low-rank phase retrieval problem, where our goal is to recover a $d_1\times d_2$ low-rank matrix from a series of phaseless linear measurements. This is a fourth-order inverse problem, as we are trying to recover factors of a matrix that have been observed, indirectly, through some quadratic measurements. We propose a solution to this problem using the recently introduced technique of...
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