5 papers
Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval
Peng Li, Wengu Chen, Qiyu Sun
Separable multi-block convex optimization problem appears in many mathematical and engineering fields. In the first part of this paper, we propose an inertial proximal ADMM to solv…
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…
CAPRL: Signal Recovery from Compressive Affine Phase Retrieval via Lifting
Wengu Chen, Peng Li, Qiyu Sun
In this paper, we consider compressive/sparse affine phase retrieval proposed in [B. Gao B, Q. Sun, Y. Wang and Z. Xu, Adv. in Appl. Math., 93(2018), 121-141]. By the lift techniqu…
Matrix Recovery from Rank-One Projection Measurements via Nonconvex Minimization
Peng Li, Wengu Chen
In this paper, we consider the matrix recovery from rank-one projection measurements proposed in [Cai and Zhang, Ann. Statist., 43(2015), 102-138], via nonconvex minimization. We e…
Signal Recovery under Mutual Incoherence Property and Oracle Inequalities
Peng Li, Wengu Chen
This paper considers signal recovery through an unconstrained minimization in the framework of mutual incoherence property. A sufficient condition is provided to guarantee the stab…