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
收藏
页码：1022 / 1026
页数：5
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共 65 条
[41]   Bayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse Non-Uniform Linear Arrays [J].
Oliveri, Giacomo ;
Massa, Andrea .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2011, 59 (02) :467-481
[42]   A Compressive-Sensing-Based Phaseless Imaging Method for Point-Like Dielectric Objects [J].
Pan, Li ;
Chen, Xudong ;
Yeo, Swee Ping .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2012, 60 (11) :5472-5475
[43]   Compressed Synthetic Aperture Radar [J].
Patel, Vishal M. ;
Easley, Glenn R. ;
Healy, Dennis M., Jr. ;
Chellappa, Rama .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2010, 4 (02) :244-254
[44]   Multifrequency Bayesian compressive sensing methods for microwave imaging [J].
Poli, Lorenzo ;
Oliveri, Giacomo ;
Ding, Ping Ping ;
Moriyama, Toshifumi ;
Massa, Andrea .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2014, 31 (11) :2415-2428
[45]   Bayesian Compressive Sensing Approaches for the Reconstruction of Two-Dimensional Sparse Scatterers Under TE Illuminations [J].
Poli, Lorenzo ;
Oliveri, Giacomo ;
Rocca, Paolo ;
Massa, Andrea .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (05) :2920-2936
[46]   Imaging sparse metallic cylinders through a local shape function Bayesian compressive sensing approach [J].
Poli, Lorenzo ;
Oliveri, Giacomo ;
Massa, Andrea .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2013, 30 (06) :1261-1272
[47]   Microwave Imaging Within the First-Order Born Approximation by Means of the Contrast-Field Bayesian Compressive Sensing [J].
Poli, Lorenzo ;
Oliveri, Giacomo ;
Massa, Andrea .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2012, 60 (06) :2865-2879
[48]   Sparsity and Compressed Sensing in Radar Imaging [J].
Potter, Lee C. ;
Ertin, Emre ;
Parker, Jason T. ;
Cetin, Muejdat .
PROCEEDINGS OF THE IEEE, 2010, 98 (06) :1006-1020
[49]   Maximally Sparse Arrays Via Sequential Convex Optimizations [J].
Prisco, Giancarlo ;
D'Urso, Michele .
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2012, 11 :192-195
[50]   Investigation of Air/Ground Reflection and Antenna Beamwidth for Compressive Sensing SFCW GPR Migration Imaging [J].
Qu, Lele ;
Yang, Tianhong .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (08) :3143-3149
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