1 citations · 1 across the 4 of their papers we have counts for
4 papers
QISTA-Net: DNN Architecture to Solve -norm Minimization Problem and Image Compressed Sensing
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu
In this paper, we reformulate the non-convex -norm minimization problem with into a 2-step problem, which consists of one convex and one non-convex subproblems,…
Performance Analysis of Joint-Sparse Recovery from Multiple Measurements and Prior Information via Convex Optimization
Shih-Wei Hu, Gang-Xuan Lin, Sung-Hsien Hsieh +2
We address the problem of compressed sensing with multiple measurement vectors associated with prior information in order to better reconstruct an original sparse matrix signal. $\…
Compressive Sensing of Large-Scale Images: An Assumption-Free Approach
Wei-Jie Liang, Gang-Xuan Lin, Chun-Shien Lu
Cost-efficient compressive sensing of big media data with fast reconstructed high-quality results is very challenging. In this paper, we propose a new large-scale image compressive…
The Necessary And Sufficient Condition for Generalized Demixing
Chun-Yen Kuo, Gang-Xuan Lin, Chun-Shien Lu
Demixing is the problem of identifying multiple structured signals from a superimposed observation. This work analyzes a general framework, based on convex optimization, for solvin…