Spectral Projected Gradient Pursuit for Compressed Sensing

摘要：

A greedy sparse signal recovery algorithm called spectral projected gradient pursuit algorithm for compressed sensing is introduced in this paper. Directional pursuit frame is adopted in this algorithm and spectral projected gradient method is used to compute the update direction and step length. Experimental results show that the proposed algorithm is competitive with the approximate conjugate gradient pursuit algorithm.

关键词： compressed sensing spectral projected gradient matching pursuit directional pursuit conjugate gradient

作者: Zhilin Li Houjin Chen Chang Yao Jupeng Li

作者单位: School of Electronics and Information Engineering Beijing Jiaotong University Beijing, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 2252-2255

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）