Low-Rank Phase Retrieval via Variational Bayesian Learning

Low-Rank Phase Retrieval via Variational Bayesian Learning

In this paper, we consider the problem of low-rank phase retrieval whose objective is to estimate a complex low-rank matrix from magnitude-only measurements. We propose a hierarchical prior model for low-rank phase retrieval, in which a Gaussian-Wishart hierarchical prior is placed on the underlying...

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Bibliographic Details
Main Authors: Kaihui Liu, Jiayi Wang, Zhengli Xing, Linxiao Yang, Jun Fang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Phase retrieval
low rank
variational Bayesian learning
Wishart prior
random initialization
Online Access:https://ieeexplore.ieee.org/document/8587152/

Internet

https://ieeexplore.ieee.org/document/8587152/

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