4 papers
Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing
Jialiang Xu, Xu Zhang
Optimal -thresholding algorithms are a class of -sparse signal recovery algorithms that overcome the shortcomings of traditional hard thresholding algorithms caused by the os…
Nonuniqueness of Solutions of a Class of -minimization Problems
Jialiang Xu
Recently, finding the sparsest solution of an underdetermined linear system has become an important request in many areas such as compressed sensing, image processing, statistical…
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…
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…