Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization
Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization
One-bit compressive sensing gains its popularity in signal processing and communications due to its low storage costs and low hardware complexity. However, it has been a challenging task to recover the signal only by exploiting the one-bit (the sign) information. In this paper, we appropriately formulate the one-bit compressive sensing …