Yun-Bin Zhao

activity

20102022

most citedNewton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery

58 citations · 75 across the 15 of their papers we have counts for

collaborators

Showing 2020Show all

3 papers · 1 filter

eess.SP2020★ 1 cited

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…

math.OC2020

Dual-density-based reweighted $ℓ_{1}$ -algorithms for a class of $ℓ_{0}$ -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…

math.OC2020★ 58 cited

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…

Improved RIP-Based Bounds for Guaranteed Performance of two Compressed Sensing Algorithms

Dual-density-based reweighted ℓ1​-algorithms for a class of ℓ0​-minimization problems

Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery

Dual-density-based reweighted $ℓ_{1}$ -algorithms for a class of $ℓ_{0}$ -minimization problems