期刊
SIGNAL PROCESSING
卷 100, 期 -, 页码 1-8出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2014.01.002
关键词
Multiple measurement vectors; Compressed sensing; Heuristic search; Simulated annealing; Greedy pursuit
资金
- National Natural Science Foundation of China [61271014, 61201328]
In this paper, we address the multiple measurement vectors problem, which is now a hot topic in the compressed sensing theory and its various applications. We propose a novel heuristic search algorithm called HSAMMV to solve the problem, which is modeled as a combinatorial optimization. HSAMMV is proposed in the framework of simulated annealing algorithm. The main innovation is to take advantage of some greedy pursuit algorithms for designing the initial solution and the generating mechanism of HSAMMV. Compared with some state-of-the-art algorithms, the numerical simulation results illustrate that HSAMMV has strong global search ability and quite good recovery performance. (C) 2014 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据