桂林电子科技大学学报Issue(5)：427-430,4.
基于 NSGPBB 算法的压缩感知稀疏信号重构
Compressed sensing sparse signal reconstruction based on NSGPBB algorithm
摘要
Abstract
To solve a key problem of sparse signal reconstruction,a nonmonotone gradient projection algorithm with the al-ternation of Barzilai-Borwein rules (NSGPBB)is proposed for bound-constrainted quadratic programming(BCQP)on a con-vex set.Global convergence of this method is proved.The numerical results show that the method is effective and faster than other spectral gradient projection algorithms.关键词
压缩感知/谱梯度投影算法/稀疏重构/二次规划/交替BB步长Key words
compressed sensing/spectral gradient projection/sparse reconstruction/quadratic programming/alternation of Barzilai-Borwein rules分类
数理科学引用本文复制引用
郭晓,李向利..基于 NSGPBB 算法的压缩感知稀疏信号重构[J].桂林电子科技大学学报,2015,(5):427-430,4.基金项目
广西自然科学基金(2014GXNSFAA118003) （2014GXNSFAA118003）
广西教育厅科研项目(ZD2014050) （ZD2014050）
