3 citations · 7 across the 6 of their papers we have counts for
7 papers · 1 filter
Affine phase retrieval for sparse signals via minimization
Meng Huang, Shixiang Sun, Zhiqiang Xu
Affine phase retrieval is the problem of recovering signals from the magnitude-only measurements with a priori information. In this paper, we use the minimization to explo…
No existence of linear algorithm for Fourier phase retrieval
Meng Huang, Zhiqiang Xu
Fourier phase retrieval, which seeks to reconstruct a signal from its Fourier magnitude, is of fundamental importance in fields of engineering and science. In this paper, we give a…
Strong convexity of affine phase retrieval
Meng Huang, Zhiqiang Xu
The recovery of a signal from the intensity measurements with some entries being known in advance is termed as {\em affine phase retrieval}. In this paper, we prove that a natural…
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization
Jianfeng Cai, Meng Huang, Dong Li +1
The problem of recovering a signal from a set of magnitude measurements is referred…
The estimation performance of nonlinear least squares for phase retrieval
Meng Huang, Zhiqiang Xu
Suppose that where is the target signal and is a noise vector. The aim of phase retrie…
On DC based Methods for Phase Retrieval
Meng Huang, Ming-Jun Lai, Abraham Varghese +1
In this paper, we develop a new computational approach which is based on minimizing the difference of two convex functionals (DC) to solve a broader class of phase retrieval proble…