3 citations · 7 across the 5 of their papers we have counts for
9 papers
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…
Uniqueness and stability for the solution of a nonlinear least squares problem
Meng Huang, Zhiqiang Xu
In this paper, we focus on the nonlinear least squares: $\mbox{min}_{\mathbf{x} \in \mathbb{H}^d}\| |A\mathbf{x}|-\mathbf{b}\|$ where , $\mathbf{b} \in…
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…
Almost Everywhere Generalized Phase Retrieval
Meng Huang, Yi Rong, Yang Wang +1
The aim of generalized phase retrieval is to recover from the quadratic measurements , wher…