3 papers
math.OC2021
Efficient Dual ADMMs for Sparse Compressive Sensing MRI Reconstruction
Yanyun Ding, Peili Li, Yunhai Xiao +1
Magnetic Resonance Imaging (MRI) is a kind of medical imaging technology used for diagnostic imaging of diseases, but its image quality may be suffered by the long acquisition time…
math.OC2021
An Efficient Semismooth Newton Method for Adaptive Sparse Signal Recovery Problems
Yanyun Ding, Haibin Zhang, Peili Li +1
We know that compressive sensing can establish stable sparse recovery results from highly undersampled data under a restricted isometry property condition. In reality, however, num…
stat.CO2021
A Global Two-stage Algorithm for Non-convex Penalized High-dimensional Linear Regression Problems
Peili Li, Min Liu, Zhou Yu
By the asymptotic oracle property, non-convex penalties represented by minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) have attracted much attentions i…