修正HS共轭梯度法在大规模信号重构问题中的应用
THE APPLICATION OF A MODIFIED HS CONJUGATE GRADIENT METHOD FOR LARGE-SCALE SIGNAL RECONSTRUCTION PROBLEM

本文研究了压缩感知在大规模信号恢复问题中应用的问题.利用修正HS共轭梯度法及光滑化方法,获得了具有较好重构效果的算法.数值实验表明用修正HS共轭梯度法解决大规模信号恢复问题是可行的.
In this paper we study application about the compressed sensing in large-scale signal recovery problem. By the modified HS conjugate gradient method and smoothing technique, the algorithm which possesses better reconstruction effect is obtained. Preliminary numerical results show that our algorithm is suitable for solving large-scale sparse signal recovery problems