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A Proposal of an End-to-End DoA Estimation System Aided by ..:
, In:
2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC)
,
Ando, Daniel Akira
;
Nishimura, Toshihiko
;
Sato, Takanori
... - p. 98-103 , 2022
Link:
https://doi.org/10.1109/WPMC55625.2022.10014749
RT T1 <cTitle>2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC)</cTitle>: T1 <Title>A Proposal of an End-to-End DoA Estimation System Aided by Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10014749&Exemplar=1&LAN=DE A1 Ando, Daniel Akira A1 Nishimura, Toshihiko A1 Sato, Takanori A1 Ohgane, Takeo A1 Ogawa, Yasutaka A1 Hagiwara, Junichiro YR 2022 SN 1882-5621 K1 Wireless communication K1 Deep learning K1 Direction-of-arrival estimation K1 Neural networks K1 Estimation K1 Pattern classification K1 Radar applications K1 antenna array K1 DoA estimation K1 SNR estimation K1 source number estimation K1 deep neural network SP 98 OP 103 LK http://dx.doi.org/https://doi.org/10.1109/WPMC55625.2022.10014749 DO https://doi.org/10.1109/WPMC55625.2022.10014749 SF ELIB - SuUB Bremen
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