43 citations · 100 across the 9 of their papers we have counts for
9 papers
Phase Retrieval with Background Information: Decreased References and Efficient Methods
Ziyang Yuan, Haoxing Yang, Ningyi Leng +1
Fourier phase retrieval(PR) is a severely ill-posed inverse problem that arises in various applications. To guarantee a unique solution and relieve the dependence on the initializa…
Untrained neural network embedded Fourier phase retrieval from few measurements
Liyuan Ma, Hongxia Wang, Ningyi Leng +1
Fourier phase retrieval (FPR) is a challenging task widely used in various applications. It involves recovering an unknown signal from its Fourier phaseless measurements. FPR with…
ADMM based Fourier phase retrieval with untrained generative prior
Liyuan Ma, Hongxia Wang, Ningyi Leng +1
Fourier phase retrieval (FPR) is an inverse problem that recovers the signal from its Fourier magnitude measurement, it's ill-posed especially when the sampling rates are low. In t…
Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence
Ziyang Yuan, Hui Zhang, Hongxia Wang
The randomized sparse Kaczmarz method was recently proposed to recover sparse solutions of linear systems. In this work, we introduce a greedy variant of the randomized sparse Kacz…
Phase Retrieval via Smooth Amplitude Flow
Q. Luo, H. Wang
Phase retrieval (PR) is an inverse problem about recovering a signal from phaseless linear measurements. This problem can be effectively solved by minimizing a nonconvex amplitude-…
Multiple Scattering Media Imaging via End-to-End Neural Network
Ziyang Yuan, Hongxia Wang
Recovering the image of an object from its phaseless speckle pattern is difficult. Let alone the transmission matrix is unknown in multiple scattering media imaging. Double phase r…
Phase retrieval with background information
Ziyang Yuan, Hongxia Wang
Phase retrieval problem has been studied in various applications. It is an inverse problem without the standard uniqueness guarantee. To make complete theoretical analyses and devi…
Phase Retrieval via Sparse Wirtinger Flow
Ziyang Yuan, Qi Wang, Hongxia Wang
Phase retrieval(PR) problem is a kind of ill-condition inverse problem which can be found in various of applications. Utilizing the sparse priority, an algorithm called SWF(Sparse…
Phase Retrieval Via Reweighted Wirtinger Flow
Ziyang Yuan, Hongxia Wang
Phase retrieval(PR) problem is a kind of ill-condition inverse problem which is arising in various of applications. Based on the Wirtinger flow(WF) method, a reweighted Wirtinger f…