摘要
本文研究预估校正法在大规模信号重构中的应用问题.利用预估校正方法解?_1正则化最小二乘问题,获得了理想的信号恢复效果.数值实验表明提出的算法对于解决大规模稀疏信号恢复问题是有效的.
In this paper, the application of a predictor-corrector method for large-scale signal reconstruction problem is studied. By the predictor-corrector algorithm to solve ？_1-regularized least-squares programs, a desired result has been taken in signal recovery process. Numerical experiment shows that our algorithm is effective and suitable for solving large-scale sparse signal recovery problems.
出处
《应用数学》
CSCD
北大核心
2017年第3期547-555,共9页
Mathematica Applicata
基金
国家自然科学基金(11361018)
河南省高等学校重点科研项目(17A110032)
河南省教育厅科学技术研究重点项目(12B110011).
关键词
预估校正
同伦方程
稀疏信号
l_(1)范数正则化
Predictor-corrector
Homotopy equation
Sparse optimization
l_(1)-norm regularization
Global convergence
