作者: Zhilin Li , Wenbo Xu , Yun Tian , Yue Wang , Jiaru Lin
DOI: 10.1109/VTCSPRING.2014.7022862
关键词:
摘要: Prior information is easily obtained in many applications of compressed sensing. This paper considers the sparse signal recovery using certain types prior information. Our major contribution proposing two novel reconstruction algorithms with named as logit weight simultaneous orthogonal matching pursuit (LW-SOMP) and amplitude (LW-SOMP-A) for joint sparsity model distributed Simulation results demonstrate improved performance proposed (with respect to conventional algorithm).