1 citations · 1 across the 3 of their papers we have counts for
3 papers
Distributed Compressive Sensing: Performance Analysis with Diverse Signal Ensembles
Sung-Hsien Hsieh, Wei-Jie Liang, Chun-Shien Lu +1
Distributed compressive sensing is a framework considering jointly sparsity within signal ensembles along with multiple measurement vectors (MMVs). The current theoretical bound of…
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…