3 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Dual-density-based reweighted -algorithms for a class of -minimization problems
Jialiang Xu, Yun-Bin Zhao
The optimization problem with sparsity arises in many areas of science and engineering such as compressed sensing, image processing, statistical learning and data sparse approximat…
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…
Analysis of Optimal Thresholding Algorithms for Compressed Sensing
Yun-Bin Zhao, Zhi-Quan Luo
The optimal -thresholding (OT) and optimal -thresholding pursuit (OTP) are newly introduced frameworks of thresholding techniques for compressed sensing and signal approximat…
Stability Analysis for a Class of Sparse Optimization Problems
Jialiang Xu, Yun-Bin Zhao
The sparse optimization problems arise in many areas of science and engineering, such as compressed sensing, image processing, statistical and machine learning. The -mini…