Jointly Sparse Signal Recovery Method Based on Look-Ahead-Atom-Selection
摘要
Different from the signal detection algorithms in Chaps. 2 and 3 with the output H0 or H1, signal recovery approaches aim to solve an inverse problem, i.e., accurately reconstruct sparse signals with an overcomplete sensing matrix and a small number of measurements. The task of jointly sparse signal recovery plays an important role in distributed sensor networks, multi-channel radar imaging, spectrum sensing, etc.