Application of Machine Learning to Antenna Design and Radar Signal Processing: A Review

被引：0
|
作者：
Kim, Youngwook [1 ]
机构：
[1] Calif State Univ Fresno, Elect & Comp Engn, 2320 E San Ramon Ave, Fresno, CA 93740 USA
来源：
2018 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2018年
关键词：
Machine learning; Deep learning; Antenna optimization; Radar signal processing; Deep convolution neural networks; Transfer learning; Classification;
D O I：
暂无
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：
Recently, machine learning has received a great deal of attention thanks to its success in a range of applications in engineering science, medicine, and economics. The new technology has also been gaining popularity in electromagnetics. In this paper, the application of machine learning algorithms, for antenna design and radar signal processing, is reviewed.
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