Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject compressed sensing
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 29-Sep-2025 | Representation Sampling and Hybrid Transformer Network for Image Compressed Sensing | Song, H; Gong, J; Jia, H; Shen, X; Gou, J; Meng, H; Wang, L |
| 28-May-2023 | SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing | Song, H; Ding, Q; Gong, J; Meng, H; Lai, Y |
| 4-Mar-2021 | Sparse Analysis Recovery via Iterative Cosupport Detection Estimation | Song, H; Ren, X; Lai, Y; Meng, H |
| 15-Feb-2018 | Uniform Recovery Bounds for Structured Random Matrices in Corrupted Compressed Sensing | Gan, L; Zhang, P; Ling, C; Sun, S |