25 citations · 41 across the 10 of their papers we have counts for
10 papers
Stable Image Reconstruction via Two-Parameter Power-Scale Variation Minimization
Ziwei Li, Wengu Chen, Huanmin Ge +2
In this article, we introduce a power-scale variation (PSV) with two tunable parameters: the sparsity-inducing exponent and the scaling factor .…
A Novel Two-Parameter Penalty: Relaxation Degree Analysis and Sparse Signal Recovery
Ziwei Li, Wengu Chen, Huanmin Ge +1
In this article, we introduce a nonconvex two-parameter penalty function , parameterized by and , and the relaxation degree RD for a separa…
On the Performance of Amplitude-Based Models for Low-Rank Matrix Recovery
Huanmin Ge, Zhiqiang Xu
In this paper, we focus on low-rank phase retrieval, which aims to reconstruct a matrix with from noi…
Signal and Image Reconstruction with Tight Frames via Unconstrained -Analysis Minimizations
Peng Li, Huanmin Ge, Pengbo Geng
In the paper, we introduce an unconstrained analysis model based on the minimization for the signal and image reconstruction. We develop some new…
The Dantzig selector: Recovery of Signal via Minimization
Huanmin Ge, Peng Li
In the paper, we proposed the Dantzig selector based on the ~ minimization for the signal recovery. In the Dantzig selector, the constraint $\|{\bf…
Efficient and Robust Recovery of Signal and Image in Impulsive Noise via Minimization
Peng Li, Huanmin Ge, Wengu Chen
In this paper, we consider the efficient and robust reconstruction of signals and images via minimization in impulsive noise case. To achieve this…
Recovery of signals by a weighted minimization under arbitrary prior support information
Wengu Chen, Huanmin Ge
In this paper, we introduce a weighted minimization to recover block sparse signals with arbitrary prior support information. When partial prior support information…
A sharp recovery condition for sparse signals with partial support information via orthogonal matching pursuit
Huanmin Ge, Wengu Chen
This paper considers the exact recovery of -sparse signals in the noiseless setting and support recovery in the noisy case when some prior information on the support of the sign…
A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit
Wengu Chen, Huanmin Ge
We consider the block orthogonal multi-matching pursuit (BOMMP) algorithm for the recovery of block sparse signals. A sharp bound is obtained for the exact reconstruction of block…
A sharp bound on RIC in generalized orthogonal matching pursuit
Wengu Chen, Huanmin Ge
Generalized orthogonal matching pursuit (gOMP) algorithm has received much attention in recent years as a natural extension of orthogonal matching pursuit. It is used to recover sp…