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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, SRW
(Joint)		 2024-03-13
16:15		 Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)		 DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range
Daniel Akira Ando, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.) RCS2023-266		 In this work, we propose a strategy based on deep neural networks (DNNs) intended to support our past DNN method for dir... [more] RCS2023-266
pp.71-76
RCS 2021-06-23
16:35		 Online Online A Study on the Behavior of LLR messages in Damped GaBP for Large-scale Signal Detection under a Correlated Channel
Daniel Akira Ando, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-45		 For large-scale signal detection, Gaussian Belief Propagation (GaBP) is known as a method providing a near-optimal perfo... [more] RCS2021-45
pp.97-102
RCS 2020-06-25
14:55		 Online Online A Study on the Behavior of Each LLR in Gaussian Belief Propagation
Daniel Akira Ando, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-39		 We have entered the era of the Internet of Things (IoT), where everything can now be connected to the internet. In order... [more] RCS2020-39
pp.97-102
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
10:15		 Hokkaido Hokkaido Univ. *
Makoto Sato, Ryo Kanamori, Toshiyuki Yamakoto, Takayuki Morikawa, Akira Ando (Nagoya Univ.) ITS2017-62 IE2017-94		  [more] ITS2017-62 IE2017-94
pp.5-10
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