Beamspace-domain learning of minimum variance beamformer with fully convolutional network

Hiki Ryuichi, Mozumi Michiya, Omura Masaaki, Nagaoka Ryo, Hasegawa Hideyuki

研究成果: ジャーナルへの寄稿 › 学術論文 › 査読

本文言語	日本
ページ（範囲）	SJ1050-SJ1050
ジャーナル	Japanese Journal of Applied Physics
巻	62
号	SJ
DOI	https://doi.org/10.35848/1347-4065/acbda2
出版ステータス	出版済み - 2023
外部発表	はい

文献へのアクセス

@article{4e6403c233e2480393e43fb47155e263,

title = "Beamspace-domain learning of minimum variance beamformer with fully convolutional network",

author = "Hiki Ryuichi and Mozumi Michiya and Omura Masaaki and Nagaoka Ryo and Hasegawa Hideyuki",

year = "2023",

doi = "10.35848/1347-4065/acbda2",

language = "日本",

volume = "62",

pages = "SJ1050--SJ1050",

journal = "Japanese Journal of Applied Physics",

number = "SJ",

}

TY - JOUR

T1 - Beamspace-domain learning of minimum variance beamformer with fully convolutional network

AU - Ryuichi, Hiki

AU - Michiya, Mozumi

AU - Masaaki, Omura

AU - Ryo, Nagaoka

AU - Hideyuki, Hasegawa

PY - 2023

Y1 - 2023

U2 - 10.35848/1347-4065/acbda2

DO - 10.35848/1347-4065/acbda2

M3 - 学術論文

VL - 62

SP - SJ1050-SJ1050

JO - Japanese Journal of Applied Physics

JF - Japanese Journal of Applied Physics

IS - SJ

ER -