7 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Fast Binary Embedding via Circulant Downsampled Matrix -- A Data-Independent Approach
Sung-Hsien Hsieh, Chun-Shien Lu, Soo-Chang Pei
Binary embedding of high-dimensional data aims to produce low-dimensional binary codes while preserving discriminative power. State-of-the-art methods often suffer from high comput…
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. $\…