3 citations · 4 across the 4 of their papers we have counts for
8 papers
Improved RIP-Based Bounds for Guaranteed Performance of two Compressed Sensing Algorithms
Yun-Bin Zhao, Zhi-Quan Luo
Iterative hard thresholding (IHT) and compressive sampling matching pursuit (CoSaMP) are two types of mainstream compressed sensing algorithms using hard thresholding operators for…
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…
Optimal -thresholding algorithms for sparse optimization problems
Yun-Bin Zhao
The simulations indicate that the existing hard thresholding technique independent of the residual function may cause a dramatic increase or numerical oscillation of the residual.…
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…