Summary and Perspectives

Joint sparsity is a natural feature of signals and implies the dependence of multiple sparse signals. Compared with the independent model and processing of multiple sparse signals, joint sparsity is helpful to improve the performance of signal detection and recovery. Focusing on the problems of detection and recovery of jointly sparse signals, this book mainly introduces the jointly sparse signal detection and recovery methods and the corresponding performance analysis with analog and coarsely quantized measurements.