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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2024-01-18
10:20
Miyagi
(Primary: On-site, Secondary: Online)
A Study on EXIT Analysis of Expectation Propagation-Based IDD for Coded Large MIMO Detection
Takahide Saiki, Takumi Takahashi, Kenta Ito (Osaka University), Shinsuke Ibi (Doshisha University) IT2023-32 SIP2023-65 RCS2023-207
Iterative detection and decoding (IDD), which gradually improves detection accuracy by iteratively exchanging extrinsic ... [more] IT2023-32 SIP2023-65 RCS2023-207
pp.13-18
RCS 2023-06-15
15:35
Hokkaido Hokkaido University, and online
(Primary: On-site, Secondary: Online)
Randomized DFT Spread Spectrally Efficient Frequency Division Multiplexing and Low-Complexity Expectation-Propagation Detection
Kazuki Komatsu (Toyohashi Univ. of Tech.), Shun Kojima (Univ. of Tokyo), Hideyuki Uehara (Toyohashi Univ. of Tech.) RCS2023-59
Spectrally-efficient frequency division multiplexing (SEFDM) can transmit the same amount of data in a narrower bandwidt... [more] RCS2023-59
pp.182-187
RCS 2022-06-17
09:40
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
A Study on Expectation Propagation-based Iterative Detection for Overloaded MIMO in Coded Systems
Takuma Kobayashi, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2022-57
This paper investigates an appropriate design for iterative detection receivers in overloaded large multi-input and mult... [more] RCS2022-57
pp.194-199
RCS 2021-06-23
09:40
Online Online A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection
Hiroki Asumi, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2021-30
Signal detection in massive MIMO has difficulty in reducing computational complexity as the number of antennas increases... [more] RCS2021-30
pp.7-12
RCS 2019-04-19
10:20
Hokkaido Noboribetsu Grand Hotel Channel Estimation Using Long-term Channel Statistics for BP-based Large MIMO Detection
Takumi Takahashi (Osaka Univ.), Antti Tolli (Univ. of Oulu), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2019-15
This paper proposes a novel de-noising method for realizing low-complexity channel estimation using long-term channel st... [more] RCS2019-15
pp.67-72
NC, MBE
(Joint)
2009-03-13
16:05
Tokyo Tamagawa Univ. Dynamic relational data analysis based on exponential family matrix factorization.
Kohei Hayashi (Nara Inst. of Sci and Tech.), Jun-ichiro Hirayama (Kyoto Univ.), Shin Ishii (Kyoto Univ./Nara Inst. of Sci and Tech.) NC2008-175
We propose a new probabilistic model to analyze time-varying relational data such as e-mail transaction profiles. Our mo... [more] NC2008-175
pp.423-428
SIP, CAS, CS 2007-03-05
10:50
Tottori Blancart Misasa (Tottori) On the convergence of iterative estimation algorithms operating on graphical models
Justin Dauwels (RIKEN) CAS2006-81 SIP2006-182 CS2006-98
In recent years, graphical models have become a useful tool to derive estimation and detection algorithms. Perhaps the m... [more] CAS2006-81 SIP2006-182 CS2006-98
pp.23-28
 Results 1 - 7 of 7  /   
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