58 citations · 59 across the 6 of their papers we have counts for
6 papers
Newton-Direction-Based ReLU-Thresholding Methods for Nonnegative Sparse Signal Recovery
Ning Bian, Zhong-Feng Sun, Yun-Bin Zhao +2
Nonnegative sparse signal recovery has been extensively studied due to its broad applications. Recent work has integrated rectified linear unit (ReLU) techniques to enhance existin…
Compressed Newton-direction-based Thresholding Methods for Sparse Optimization Problems
Nan Meng, Yun-Bin Zhao
Thresholding algorithms for sparse optimization problems involve two key components: search directions and thresholding strategies. In this paper, we use the compressed Newton dire…
MUSIC algorithm for locating point-like scatterers with multiple interactions
Nana Meng
We study the inverse problem of locating point sources from far-field data under plane wave incidence. A direct computational method is developed based on multiple scattering theor…
Heavy-Ball-Based Hard Thresholding Algorithms for Sparse Signal Recovery
Zhong-Feng Sun, Jin-Chuan Zhou, Yun-Bin Zhao +1
The hard thresholding technique plays a vital role in the development of algorithms for sparse signal recovery. By merging this technique and heavy-ball acceleration method which i…
Partial Gradient Optimal Thresholding Algorithms for a Class of Sparse Optimization Problems
Nan Meng, Yun-Bin Zhao, Michal Kocvara
The optimization problems with a sparsity constraint is a class of important global optimization problems. A typical type of thresholding algorithms for solving such a problem adop…
Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery
Nan Meng, Yun-Bin Zhao
Sparse signal recovery or compressed sensing can be formulated as certain sparse optimization problems. The classic optimization theory indicates that the Newton-like method often…