@inproceedings{38d790e0910043a1b8c9497a5b8eabb5,
title = "Elliptical Gaussian Beam Decomposition Using Multi-Layer Perceptron Network",
abstract = "This paper investigates Elliptical Gaussian beam decomposition through the use of multi-layer perceptron (MLP) network. The advantage of employing the MLP network for elliptical Gaussian beam decomposition lies in its capability to maintain exceptional decomposition efficiency even when faced with intricate fields and sudden phase changes. Compared to the analytical method of elliptical Gaussian beam decomposition, the MLP network demonstrates lower residual energy in the decomposed residual field when decomposing the same number of sub-Gaussian beams. The results indicate that this technique has significant potential for the beam propagation in systems with large electrical size.",
author = "Chuan Shi and Lei Zhao and Junpeng Shi and Jiahui Zhao and Shiyuan Zhang and Ming Bai",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications, IMWS-AMP 2023 ; Conference date: 12-11-2023 Through 15-11-2023",
year = "2023",
doi = "10.1109/IMWS-AMP57814.2023.10381288",
language = "英语",
series = "IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications, IMWS-AMP 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications, IMWS-AMP 2023 - Proceedings",
address = "美国",
}