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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
AP, RCS
(Joint)
2019-11-22
15:05
Saga Saga Univ. [Invited Lecture] Study on Underwater Acoustic Communication using Time-Reversal DFE -- Application for MIMO and Multiuser Communication --
Takuya Shimura, Mitsuyasu Deguchi, Yukihiro Kida, Yoshitakawa Watanabe (JAMSTEC) AP2019-139 RCS2019-234
In underwater acoustic communication, effects of multipath interferences and Doppler shift are much larger than those in... [more] AP2019-139 RCS2019-234
pp.181-186(AP), pp.175-180(RCS)
US 2019-08-28
15:45
Tokyo   Research and Development of High-Rate Underwater Acoustic Communication -- Research on Time-Reversal MIMO Acoustic Communication and Development of Acoustic Communication System for Manned Submersible SHINKAI6500 --
Takuya Shimura, Mitsuyasu Deguchi, Yukihiro Kida, Yoshitaka Watanabe (JAMSTEC) US2019-43
In underwater acoustic communication, effects of multipath interferences and Doppler shift are much larger than those in... [more] US2019-43
pp.33-38
QIT
(2nd)
2019-05-21
11:40
Fukuoka Kyushu University, Chikushi Campus Directed-completeness of statistical experiments and channels on operator algebras
Yui Kuramochi (Univ. Tokyo)
For statistical experiments or quantum channels
on von Neumann algebras,
we introduce a preorder (equivalence) relati... [more]

US 2017-08-31
13:50
Kanagawa   Research on time reversal underwater acoustic communication -- Application for spatial division multiplexing in comparison with OFDM --
Takuya Shimura, Yukihiro Kida, Mitsuyasu Deguchi (JAMSTEC) US2017-52
Time reversal is an effective method for channel equalization in underwater acoustic communication. Its temporal and spa... [more] US2017-52
pp.31-36
AP 2014-02-07
11:00
Aichi Kojima Industries Corporation, Kojima Research Center Bidirectional Matching Technique for Tx and Rx Arrays in Short-range MIMO
Kentaro Murata, Naoki Honma (Iwate Univ.), Kentaro Nishimori (Niigata Univ.), Hisashi Morishita (NDA) AP2013-179
In this report, bidirectional matching technique for Tx and Rx arrays in short-range MIMO system is proposed. This propo... [more] AP2013-179
pp.75-80
IT 2012-09-28
11:30
Gunma Kusatsu Seminar House A Quantizer Design Method Based on Mutual Information Criteria for MIMO System
Manabu Kobayashi (SIT), Hideki Yagi (UEC), Hiroshi Ninomiya (SIT), Shigeichi Hirasawa (Waseda Univ.) IT2012-41
B. M. Kurkoski et al. have proposed a quantizer design method based on the maximization of the mutual information.
Furt... [more]
IT2012-41
pp.59-64
AP 2010-04-09
13:25
Kyoto Doshisha Univ. Maximization of the Channel Capacity of a MIMO Dipole Array by an Optimum Impedance Matching and Its Mechanism Analysis
Koichi Ogawa (Panasonic), Toshiteru Hayashi (Panasonic Mobile Communications), Atsushi Yamamoto (Panasonic) AP2010-5
In this paper, analytical studies on an optimum matching condition for achieving the maximum channel capacity of a MIMO ... [more] AP2010-5
pp.19-24
AP, RCS
(Joint)
2008-11-21
10:10
Ishikawa Kanazawa Institute of Technology Blind Type Adaptive Reduced-Rank Filter Based on Signal Subspace for DS/CDMA Systems with Antenna Array
Tomokazu Takahashi, Tsuyoshi Ichikawa, Kohei Otake (Hosei Univ.) RCS2008-147
In DS/CDMA communication systems, to improve the transmission efficiency, a blind or non-pilot-aided adaptive MMSE recei... [more] RCS2008-147
pp.101-106
RCS, SIP 2008-01-25
09:00
Hiroshima Hiroshima City Uni. MMSE channel estimation utilizing the conjugate gradient method
Shigenori Kinjo (JCGA) SIP2007-162 RCS2007-165
In this report, we propose a new scheme in order to implement an MMSE channel estimator for OFDM systems.We know that th... [more] SIP2007-162 RCS2007-165
pp.27-32
MoNA, IN
(Joint)
2005-11-18
09:50
Fukuoka Fukuoka Institute of Technology Subspace Based Blind Identification Algorithm using CGM
Nari Tanabe (Toyama National College of Tech.), Toshihiro Furukawa (Tokyo University of Science), Shigeo Tsujii (Inst. of Information Security)
We propose a subspace based blind identification algorithm using CGM (conjugate gradient method). The algorithm estimate... [more] MoMuC2005-69
pp.65-68
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