76 citations · 77 across the 6 of their papers we have counts for
6 papers
Theory and Fast Learned Solver for -TV Regularization
Xinling Liu, Jianjun Wang, Bangti Jin
The and total variation (TV) penalties have been used successfully in many areas, and the combination of the and TV penalties can lead to further improved perform…
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation
Jiangjun Peng, Hailin Wang, Xiangyong Cao +3
Mining structural priors in data is a widely recognized technique for hyperspectral image (HSI) denoising tasks, whose typical ways include model-based methods and data-based metho…
The high-order block RIP for non-convex block-sparse compressed sensing
Jianwen Huang, Xinling Liu, Jinyao Hou +1
This paper concentrates on the recovery of block-sparse signals, which is not only sparse but also nonzero elements are arrayed into some blocks (clusters) rather than being arbitr…
The perturbation analysis of nonconvex low-rank matrix robust recovery
Jianwen Huang, Wendong Wang, Feng Zhang +1
In this paper, we bring forward a completely perturbed nonconvex Schatten -minimization to address a model of completely perturbed low-rank matrix recovery. The paper that based…
Expansions of maximum and minimum from Generalized Maxwell distribution
Jianwen Huang
Generalized Maxwell distribution is an extension of the classic Maxwell distribution. In this paper, we concentrate on the joint distributional asymptotics of normalized maxima and…
On the distributional expansions of powered extremes from Maxwell distribution
Jianwen Huang, Xinling Liu, Jianjun Wang +3
In this paper, asymptotic expansions of the distributions and densities of powered extremes for Maxwell samples are considered. The results show that the convergence speeds of norm…