3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IR2023
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…
eess.IV2023★ 1 cited
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…
eess.SP2022★ 3 cited
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…