Compressive Sensing for Inverse Scattering
Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , , |
| Format: | article |
| Language: | English |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://ridda2.utp.ac.pa/handle/123456789/2413 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Compressive Sensing for Inverse Scattering
- Coding of multichannel signals with irregular sampling rates and data gaps
- Compression algorithms for biomedical signals and nanopore sequencing data
- Proposal of air compressing device using walking vibration energy regeneration for pneumatic driven assistive device
- Influence of the improvement of 0.2%, 0.3% and 0.4% of polyethylene terephthalate on the strength and permeability properties of concrete pavement
- Structure and texture filling-in of missing image blocks in wireless transmission and compression
- Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers