计算机科学 ›› 2017, Vol. 44 ›› Issue (Z6): 97-98.doi: 10.11896/j.issn.1002-137X.2017.6A.020

• 智能计算 • 上一篇    下一篇

压缩感知优化问题的等价表示及其目标罚函数方法

孟志青,徐蕾艳,蒋敏,沈瑞   

  1. 浙江工业大学经贸管理学院 杭州310023,浙江工业大学经贸管理学院 杭州310023,浙江工业大学经贸管理学院 杭州310023,浙江工业大学经贸管理学院 杭州310023
  • 出版日期:2017-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金项目(11271329)资助

Equivalent Representation of Compressed Sensing Optimization Problem and Its Penalty Function Method

MENG Zhi-qing, XU Lei-yan, JIANG Min and SHEN Rui   

  • Online:2017-12-01 Published:2018-12-01

摘要: 首先定义了压缩感知优化问题的一个等价表示问题,证明了这个等价表示问题的最优解也是压缩感知优化问题的最优解。然后定义了它的一个具有2阶以上的光滑性的目标罚函数,给出了一个迭代求解算法,证明了所提算法的收敛性定理。定理表明,可以通过求解目标罚函数来获得压缩感知优化问题的近似最优解,该方法为研究和解决实际的压缩感知问题提供了一个新的工具。

关键词: 压缩感知,等价表示,稀疏优化,目标罚函数

Abstract: Firstly,the definition of an equivalent representation for compressed sensing optimization problem was given.It is proved that an optimal solution to the equivalent representation problem is an optimal solution to compressed sen-sing problem.Then an objective penalty function was defined,which has more than 2 order of smoothness,and its iterative algorithm was given.The convergence of the algorithm was proved.By solving the objective penalty function,the approximate optimal solution of compressed sensing optimization problem can be obtained.This method provides a new tool for us to study and solve the actual compressed sensing.

Key words: Compressive sensing,Equivalent representation,Sparse optimization,Object penalty function

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