Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization
- Publication Type
- Original research
- Authors
- S. M. Fosson
- Mohammad Abuabiah
The recovery of signals with finite-valued components from few linear measurements is a problem with widespread applications and interesting mathematical characteristics. In the compressed sensing framework, tailored methods have been recently proposed to deal with the case of finite-valued sparse signals. In this letter, we focus on binary sparse signals and we propose a novel formulation, based on polynomial optimization. This approach is analyzed and compared to the state-of-the-art binary compressed sensing methods.
Journal
- Title
- IEEE Signal Processing Letters
- Publisher
- IEEE Signal Processing Letters
- Publisher Country
- United States of America
- Indexing
- Scopus
- Impact Factor
- None
- Publication Type
- Both (Printed and Online)
- Volume
- 26
- Year
- 2019
- Pages
- --