作 者：
;
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机构地区：
广东工业大学应用数学学院
出 处：
《计算机科学》
2011年第9期193-196,共4页
摘 要：
针对稀疏信号恢复的lp优化模型(0
To solve the problem of finding sparse solutions from lp optimization model（0p≤1）,this paper presented a kind of novel robust approach based on the augmented Lagrange optimization algorithm.This method introduces precise penalty function by setting limited value of augment factor to enhance the precision of signal recovery,which also avoids the problem of ill-condition computation happened in traditional FOCUSS algorithm.For dealing with large scale problem,Conjugate Gradient method was cooperated with the augmented Lagrange optimization algorithm to accelerate the convergence speed.Finally,computer simulations illustrate the performance on strengthening the recovery ability of signal.
关 键 词：
稀疏信号重构
优化模型
算法
增广
函数优化算法
领 域：
[自动化与计算机技术]
[自动化与计算机技术]
