Compressed Sensing by Shortest-Solution Guided Decimation
Compressed sensing is an important problem in many fields of science and engineering. It reconstructs signals by finding sparse solutions to underdetermined linear equations. In this paper, we propose a deterministic and non-parametric algorithm, shortest-solution guided decimation (SSD), to constru...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8262619/ |