Measurement with random sampling for solving EM scattering problems over a wide angle by compressed sensing

2017 ◽  
Vol 53 (12) ◽  
pp. 762-764
Author(s):  
Bo Wu ◽  
Xin‐yuan Cao ◽  
Ming‐Sheng Chen
Keyword(s):  
Compressed Sensing ◽  
Random Sampling ◽  
Wide Angle ◽  
Em Scattering ◽  
Scattering Problems

Bilateral sparse transform for fast solving EM scattering problems by compressed sensing

2017 ◽  
Vol 11 (14) ◽  
pp. 2049-2053 ◽  
Author(s):  
Xinyuan Cao ◽  
Mingsheng Chen ◽  
Xianliang Wu ◽  
Meng Kong ◽  
Qi Qi ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Em Scattering ◽  
Scattering Problems

Method of Moments Based on Prior Knowledge for Solving Wide Angle EM Scattering Problems

2014 ◽  
Vol 31 (11) ◽  
pp. 118401 ◽  
Author(s):  
Xin-Yuan Cao ◽  
Ming-Sheng Chen ◽  
Meng Kong ◽  
Liang Zhang ◽  
Xian-Liang Wu
Keyword(s):  
Prior Knowledge ◽  
Method Of Moments ◽  
Wide Angle ◽  
Em Scattering ◽  
Scattering Problems

scholarly journals DIRECT APPLICATION OF EXCITATION MATRIX AS SPARSE TRANSFORM FOR ANALYSIS OF WIDE ANGLE EM SCATTERING PROBLEMS BY COMPRESSIVE SENSING

2017 ◽  
Vol 65 ◽  
pp. 131-137 ◽  
Author(s):  
Xin-Yuan Cao ◽  
Ming Sheng Chen ◽  
Meng Kong ◽  
Liang Zhang ◽  
Xian-Liang Wu ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Direct Application ◽  
Wide Angle ◽  
Em Scattering ◽  
Scattering Problems

Fast compressed sensing analysis for super-resolution imaging using random sampling operator

2017 ◽  
Vol 46 (2) ◽  
pp. 201002
Author(s):  
王中阳 Wang Zhongyang ◽  
周燕飞 Zhou Yanfei ◽  
张小伟 Zhang Xiaowei ◽  
沈 灏 Shen Hao ◽  
李恩荣 Li Enrong ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Random Sampling ◽  
Super Resolution ◽  
Resolution Imaging

Fast compressed sensing analysis for super-resolution imaging using random sampling operator

2017 ◽  
Vol 46 (2) ◽  
pp. 201002
Author(s):  
王中阳 Wang Zhongyang ◽  
周燕飞 Zhou Yanfei ◽  
张小伟 Zhang Xiaowei ◽  
沈 灏 Shen Hao ◽  
李恩荣 Li Enrong ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Random Sampling ◽  
Super Resolution ◽  
Resolution Imaging

Development of CEM in Relation to Subsurface Electromagnetic Scattering

2012 ◽  
Vol 588-589 ◽  
pp. 2166-2170
Author(s):  
Ajaz Amna ◽  
Jia Dong Xu ◽  
Abdul Mueed
Keyword(s):  
Design Process ◽  
Electromagnetic Scattering ◽  
Problem Area ◽  
Subsurface Scattering ◽  
Em Scattering ◽  
Scattering Problems ◽  
Analysis And Design ◽  
Modeling Analysis ◽  
Terrestrial Environments ◽  
Indispensable Tool

Computational Electromagnetic (CEM) techniques have become an indispensable tool in efficient EM modeling, analysis and design process. EM subsurface scattering is a broad field of research with varying degree of complexity. Due level of the obscurity involved in the subsurface scattering investigation, it is therefore considered imperative to explore this problem area of EM for better insight through CEM-based study and models. In this paper, frequency domain CEM techniques are studied which have been tested to provide solution for subsurface scattering problems in terrestrial environments. The development of CEM methods for comparatively more complex problems of scattering from embedded non-metallic inhomogeneity in lossy, rough and layered media remains the focus of this article. The objective here is to provide an overview of CEM development by selecting few examples from the wide area of subsurface EM scattering.

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