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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, IT, RCS | 2024-01-18 11:45 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.)  IT2023-34 SIP2023-67 RCS2023-209 |
Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] | IT2023-34 SIP2023-67 RCS2023-209 pp.25-30 |
| SIS, ITE-BCT | 2022-10-14 11:05 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
A Study of Blind Estimation for Sparse Channel Yosuke Sugiura, Kaito Shinoda, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2022-19 |
In this paper, we propose an estimation method for sparse channel without a pilot symbol in wireless communication based... [more] | SIS2022-19 pp.44-48 |
| RISING (3rd) |
2021-11-17 09:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Interference Estimation Method Using Sparse Modeling Based on Spectrum Database Hiroki Ito (UEC), Kei Inage (TMCIT), Takeo Fujii (UEC) |
With the Internet of Things (IoT) era, the number of devices that share the same frequency is rapidly increasing. IoT de... [more] | |
| SeMI, IPSJ-MBL, IPSJ-UBI [detail] | 2021-03-02 14:30 |
Online | Online | [Poster Presentation]
Wireless channel characterization with sparse modeling Naota Takeyama, Jin Mitsugi (Keio Univ.) SeMI2020-66 |
In wireless channel characterization using adaptive filters, adaptive algorithms based on Lasso, Group Lasso, and SCAD h... [more] | SeMI2020-66 pp.47-56 |
| SIP | 2020-08-28 11:20 |
Online | Online | [Invited Talk]
Blind source separation based on proximal splitting algorithm Kohei Yatabe (Waseda Univ.) SIP2020-36 |
This talk presents blind source separation (BSS) from multi-channel audio signals. BSS is methodology of estimating sepa... [more] | SIP2020-36 p.31 |
| RCC, ITS, WBS | 2019-11-06 11:00 |
Nara | Nara Institute of Science and Technology | [Poster Presentation]
Precision comparison of channel estimation in single-carrier FDMA using compressed sensing technique Haohui Jia, Takeshi Higashino, Minoru Okada (NAIST) WBS2019-29 ITS2019-20 RCC2019-60 |
Single carrier frequency division multiple access (SC-FDMA) system re- duces a peak to average power ratio comparing wit... [more] | WBS2019-29 ITS2019-20 RCC2019-60 pp.31-36 |
| RCS, SIP, IT | 2019-01-31 10:15 |
Osaka | Osaka University | A Study on Regularization Parameter in OFDM Communication Using Sparse Channel Estimation Kenta Kawahara, Takahiro Natori (Tokyo Univ. of Science), Takashi Yoshida (TMCIT), Akira Nakamura, Makoto Itami, Naoyuki Aikawa (Tokyo Univ. of Science) IT2018-38 SIP2018-68 RCS2018-245 |
In recent years, sparse estimation using signal sparsity, which is one solution to the inverse problem, attracts attenti... [more] | IT2018-38 SIP2018-68 RCS2018-245 pp.19-24 |
| WBS | 2015-10-09 10:45 |
Tokyo | Waseda Univ. | Semi-Blind Estimation of Sparse Channels in OFDM Systems Tomoya Saito, Teruyuki Miyajima (Ibaraki Univ.) WBS2015-28 |
In this article, we consider semi-blind estimation of sparse channels in OFDM systems. The proposed semi-blind estimatio... [more] | WBS2015-28 pp.7-12 |
| RCS, SR, SRW (Joint) |
2015-03-06 15:25 |
Tokyo | Tokyo Institute of Technology | Iterative Reception Employing Sparse Channel Estimation for OFDM Systems Yuta Takahashi, Kazuhiko Fukawa, Hiroshi Suzuki, Yuyuan Chang (Tokyo Tech) RCS2014-372 |
OFDM transmission schemes are adopted for the integrated services digital broadcasting-terrestrial (ISDB-T) and the down... [more] | RCS2014-372 pp.423-428 |
| RCS | 2013-04-19 13:25 |
Okinawa | Ishigaki City Hall | Adaptive Sparse Channel Estimation Methods for Time-Variant MIMO Communication Systems Guan Gui, Fumiyuki Adachi (Tohoku Univ.) RCS2013-20 |
[more] | RCS2013-20 pp.107-112 |
| IT, ISEC, WBS | 2013-03-07 15:05 |
Osaka | Kwansei Gakuin Univ., Osaka-Umeda Campus | A Study on Sparse Channel Estimation in Single Carrier Communications Yuki Nishizawa, Teruyuki Miyajima (Ibaraki Univ.) IT2012-85 ISEC2012-103 WBS2012-71 |
It has been reported that when channel estimation performance is unsatisfactory when conventional estimation methods are... [more] | IT2012-85 ISEC2012-103 WBS2012-71 pp.149-154 |
| RCS, SR, SRW (Joint) |
2013-03-01 11:30 |
Tokyo | Waseda Univ. | Least Mean Square Algorithm with Application to Improved Adaptive Sparse Channel Estimation Guan Gui, Wei Peng, Fumiyuki Adachi (Tohoku Univ.) RCS2012-359 |
Least mean square (LMS) based adaptive algorithms have been attracted much attention since their low computational compl... [more] | RCS2012-359 pp.447-452 |
| SIP, RCS | 2013-02-01 10:50 |
Hiroshima | Viewport-Kure-Hotel (Kure) | Sparse Channel Estimation for MIMO-OFDM Amplify-and-Forward Two-Way Relay Networks Guan Gui, Fumiyuki Adachi (Tohoku Univ.) SIP2012-116 RCS2012-273 |
[more] | SIP2012-116 RCS2012-273 pp.207-212 |
| RCS | 2012-04-19 14:35 |
Kyoto | Kyoto Univ. | A study on channel estimation scheme using scattered pilot symbols in two-way multihop network Taishi Ito, Yuta Koshimizu, Eiji Okamoto (Nagoya Inst. Tech.) RCS2012-5 |
The wireless multihop communication which performs relay transmission using a relay terminal does not need a central bas... [more] | RCS2012-5 pp.25-30 |
| ISEC, IT, WBS | 2011-03-03 10:00 |
Osaka | Osaka University | A Study on Blind Estimation of Sparse OFDM Channel Based on Nonzero Tap Detection Takahiro Ueno, Teruyuki Miyajima (Ibaraki Univ.) IT2010-85 ISEC2010-89 WBS2010-64 |
Many real-world wireless channels tend to exhibit impulse responses with a relative small number of nonzero channel taps... [more] | IT2010-85 ISEC2010-89 WBS2010-64 pp.105-111 |
| AN, USN, SR, RCS (Joint) |
2010-10-27 14:20 |
Osaka | Osaka University | Compressed Channel Sensing for Two-way Relay Network Guan Gui (Univ. of Electrical Science and Tech. of China/Tohoku Univ.), Qun Wan (Univ. of Electrical Science and Tech. of China), Fumiyuki Adachi (Tohoku Univ.) RCS2010-110 |
Two-way relay network (TWRN) was introduced to realize high-data rate transmission and to improve spatial diversity ove... [more] |
RCS2010-110 pp.19-24 |
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