计算机科学 ›› 2019, Vol. 46 ›› Issue (6A): 133-137.

• 智能计算 • 上一篇    下一篇

压缩感知问题的目标罚函数交替随机搜索方法

蒋敏1, 孟志青1, 沈瑞2   

  1. 浙江工业大学管理学院 杭州3100231;
    浙江工业大学经济学院 杭州3100232
  • 出版日期:2019-06-14 发布日期:2019-07-02
  • 通讯作者: 孟志青(1962-),男,教授,博士生导师,主要研究方向为供应链管理、非线性优化理论、机器学习、数据挖掘,E-mail:mengzhiqing@zjut.edu.cn
  • 作者简介:蒋 敏(1976-),女,教授,博士生导师,主要研究方向为供应链管理、非线性优化理论、机器学习、数据挖掘;沈 瑞(1969-),女,博士,讲师,主要研究方向为供应链管理、非线性优化理论、机器学习、数据挖掘。
  • 基金资助:
    本文受浙江省自然科学基金项目(LY18A010031),国家自然科学基金项目(11871434)资助。

Alternate Random Search Algorithm of Objective Penalty Function for Compressed Sensing Problem

JIANG Min1, MENG Zhi-qing1, SHEN Rui2   

  1. School of Management,Zhejiang University of Technology,Hangzhou 310023,China1;
    School of Economics,Zhejiang University of Technology,Hangzhou 310023,China2
  • Online:2019-06-14 Published:2019-07-02

摘要: 首先将压缩感知优化问题等价定义为双凸优化问题,证明了这个等价双凸优化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及对应的交替子问题,给出了一个交替求解子问题迭代算法,理论上证明了所提出的交替算法的收敛性定理,导出了压缩感知的最优解显示表达式,设计了一种对一类特定的压缩感知问题有效的交替随机搜索算法。该方法为研究和解决实际的压缩感知问题提供了一种新的设计思路。

关键词: 等价表示, 交替随机搜索算法, 目标罚函数, 稀疏优化, 压缩感知

Abstract: The compressed sensing optimization problem was defined as a biconvex optimization problem.It is proved that the optimal solution of the equivalent biconvex optimization problem is also the optimal solution of the compressed sensing optimization problem.Then a smooth objective penalty function and its corresponding alternating sub-problem were defined.An iterative algorithm for solving the sub-problem was given.The convergence theorem of alternating algorithm was proved theoretically.The expression of the optimal solution for compression perception was derived.An alternating random search algorithm was designed,which is effective for a specific type of compressed sensing problem.This method provides a new design idea for studying and solving the actual compressed sensing problem.

Key words: Alternating random search algorithm, Compressive sensing, Equivalent representation, Object penalty function, Sparse optimization

中图分类号: 

  • TP391.4
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