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Deep Neural Networks Based End-to-End DOA Estimation System.
Daniel Akira Ando
Yuya Kase
Toshihiko Nishimura
Takanori Sato
Takeo Ohgane
Yasutaka Ogawa
Junichiro Hagiwara
Published in:
IEICE Trans. Commun. (2023)
Keyphrases
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end to end
neural network
doa estimation
direction of arrival
canonical correlation analysis
congestion control
pattern recognition
ad hoc networks
admission control
neural network model
multipath
signal to noise ratio
multi layer
rate allocation