Guest Editorial: Special Cluster on Compressive Sensing as Applied to Electromagnetics

被引：8

作者：

Massa, Andrea ^{[1
,2
,3
]}

Teixeira, Fernando L. ^{[4
,5
]}

机构：

[1] Univ Trento, Trento, Italy

[2] Univ Trento, Electromagnet Fields, Trento, Italy

[3] Univ Trento, ELEDIA Res Ctr, Trento, Italy

[4] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA

[5] Ohio State Univ, ElectroSci Lab, Columbus, OH 43210 USA

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2015年 / 14卷

关键词：

SOURCE LOCALIZATION; SPARSE SOLUTION; ARRAYS; RADAR; SCATTERERS; DIAGNOSIS;

D O I：

10.1109/LAWP.2015.2425011

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Compressive Sensing (CS) has driven the introduction, development, and application of a huge number of new methodologies in information theory, signal processing, computer science, and electrical engineering. The first electromagnetic applications of CS methods have been developed for the solution of sparse recovery problems that naturally fit the standard CS requirements. The field of application of CS has been significantly broadened by observing that many electromagnetic problems can be suitably formulated to comply with the above assumptions.

引用

页码：1022 / 1026

页数：5

共 65 条

[1] Bayesian Compressive Sensing Using Laplace Priors [J].