压缩感知在计算电磁学中的应用综述

A survey on application of compressive sensing in computational electromagnetics

将压缩感知理论引入计算电磁学中以提升现有算法的计算效率,已成为近期研究热点.论文对压缩感知的基本理论及实现过程进行了简要介绍,着重阐述了在压缩感知理论框架下面向计算电磁学领域的新型计算模型及其研究进展.对压缩感知关键技术优化进行了归纳,指出了计算模型的发展方向.

Compressive sensing （CS） has been successfully introduced into computational electromagnetics（CEM） to improve computational efficiency of existed algorithms, and it has become a hot research topic recently. Firstly, we introduced the basic theory of CS and its implementation process briefly. Secondly, computational models in CEM and their research progress under the framework of CS were particularly described. Finally, the optimization algorithms of the mentioned computational models were summarized, and the further research directions were also presented.