Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization
Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization
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 …