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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Evaluation of Interference Suppression Performance of ICA in Time-varying Channel Environment Soma Sumita, Haruya Ikeda (Tokyo Univ. of Science), Daisuke Hisano (Osaka Univ.), Kazuki Maruta (Tokyo Univ. of Science) |
Research on underwater acoustic communication has been attracting attention in Beyond 5G/6G. Since the speed of sound i... [more] |
|
| MBE, IEE-MBE | 2023-06-16 16:50 |
Hokkaido | Hokkaido University (Primary: On-site, Secondary: Online) |
Artifact Reduction in the EEG Grasping-Type Discrimination Task using Independent Component Analysis (ICA) method Phan Hoang Huu Duc, Masayuki Fujiwara, Kosei Shibata, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology)  MBE2023-15 |
This study examined the artifactual components rejection of Independent Component Analysis (ICA) in Electroencephalogram... [more] | MBE2023-15 pp.28-33 |
| CAS, CS | 2023-03-02 12:10 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Proposal of CSI Sampling for Practical Environment on Device Grouping toward Put-and-Play IoT Systems Shigemi Ishida (FUN), Tomoki Murakami, Shinya Otsuki (NTT) CAS2022-117 CS2022-94 |
This paper presents a wireless LAN channel state information (CSI) sampling method to use the IoT device grouping system... [more] | CAS2022-117 CS2022-94 pp.123-128 |
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 14:30 |
Saga | Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient Baijun Song, Aoi Takahi, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-51 MBE2022-51 |
Eye movements are an important source of electroencephalogram (EEG) artifacts. Independent component analysis (ICA) is c... [more] | MICT2022-51 MBE2022-51 pp.36-39 |
|
| EST, MW, EMCJ, IEE-EMC [detail] | 2021-10-08 09:40 |
Online | Online | Study on extraction of multiple electromagnetic noise waveforms using independent component analysis Nao Takahashi, Shinobu Ishigami, Ken Kawamata (TGU) EMCJ2021-42 MW2021-54 EST2021-44 |
In device such as a drone that has a build-in 5G (5th generation mobile communications) mobile terminal for controlling ... [more] | EMCJ2021-42 MW2021-54 EST2021-44 pp.73-77 |
| NC, MBE (Joint) |
2021-03-04 09:00 |
Online | Online | Proposal of higher-order tensor independent component analysis for MIMO remote sensing systems Seishiro Goto, Ryo Natsuaki, Akira Hirose (The Univ. of Tokyo) NC2020-54 |
This paper proposes higher-order tensor independent component analysis (HOT-ICA). HOT-ICA is a tensor ICA that makes eff... [more] | NC2020-54 pp.65-70 |
| MW, EST, EMCJ, PEM, IEE-EMC [detail] | 2020-10-22 11:00 |
Online | Online | Basic study of electromagnetic noise waveform extraction using independent component analysis Nao Takahashi, Shinobu Ishigami, Ken Kawamata (TGU) EMCJ2020-28 MW2020-42 EST2020-30 |
For the safe operation of next-generation autonomous mobiles such as drones, 5G (5th generation mobile phone) technology... [more] | EMCJ2020-28 MW2020-42 EST2020-30 pp.20-24 |
| RCS, SR, SRW (Joint) |
2020-03-05 13:55 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique Yasuhiro Takano (Kobe Univ.) RCS2019-367 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] | RCS2019-367 pp.239-244 |
| IT, SIP, RCS | 2020-01-23 09:50 |
Hiroshima | Hiroshima City Youth Center | A Study on Channel Estimation by Using Independent Component Analysis in Large-scale MIMO Systems Taichi Kasai, Shinsuke Ibi, Hisato Iwai, Hideichi Sasaoka (Doshisha Univ.) IT2019-37 SIP2019-50 RCS2019-267 |
As the demand for wireless communication technology increases, efficient frequency usage is required. In the case of lar... [more] | IT2019-37 SIP2019-50 RCS2019-267 pp.7-11 |
| IT, SIP, RCS | 2020-01-24 14:25 |
Hiroshima | Hiroshima City Youth Center | Research trends of compressive channel estimation techniques Yasuhiro Takano (Kobe Univ.) IT2019-80 SIP2019-93 RCS2019-310 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] | IT2019-80 SIP2019-93 RCS2019-310 pp.261-265 |
| AP, RCS (Joint) |
2019-11-22 09:50 |
Saga | Saga Univ. | Improving Time-domain Symbol Spread Blind Adaptive Array Interference Suppression by Principal Component Analysis Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2019-226 |
We previously proposed a time-domain symbol spreading (TSS) which can expand the operational region of the blind adaptiv... [more] | RCS2019-226 pp.129-134 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-18 10:25 |
Okinawa | Okinawa Institute of Science and Technology | Spatial-Temporal decomposition to resting and task MEG using DMD Fumiya Nakai (NAIST), Okito Yamashita (ATR) NC2019-13 IBISML2019-11 |
Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive ... [more] | NC2019-13 IBISML2019-11 pp.51-56(NC), pp.73-78(IBISML) |
| EA, SIP, SP | 2019-03-15 11:25 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Invited Talk]
Realization of real-time blind source separation with auxiliary-function-based algorithms Nobutaka Ono (TMU) EA2018-133 SIP2018-139 SP2018-95 |
Blind source separation is a signal processing technique to estimate sound source signals only from the observation of m... [more] | EA2018-133 SIP2018-139 SP2018-95 p.203 |
| RCS, SR, SRW (Joint) |
2019-03-06 14:35 |
Kanagawa | YRP | [Invited Lecture]
Blind Adaptive Array with Time-Domain Symbol Spreading Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Yu Nakayama (Aoyama Gakuin Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2018-296 |
This paper proposes a time-domain symbol spreading (TSS) to expand the operational region of the blind adaptive array in... [more] | RCS2018-296 pp.77-82 |
| NC, MBE (Joint) |
2019-03-05 15:25 |
Tokyo | University of Electro Communications | Construction of a microwave search-and-rescue radar system based on online frequency-domain complex-valued independent component analysis Takahiro Nakanishi, Akira Hirose (Tokyo Univ.) NC2018-70 |
Search-and-rescue radar systems are expected to become more powerful and wider applicable in many disasters such as eart... [more] | NC2018-70 pp.139-143 |
| CQ | 2018-05-31 16:40 |
Chiba | Chiba Univ. Nishi-Chiba Campus, academic link center | [Invited Talk]
Blind Interference Suppression on Adaptive Arrays: Comparisons and Applications for Spectrum Sharing Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) CQ2018-22 |
This paper presents performance comparison of interference suppression on blind adaptive array algorithms. Co-channel in... [more] | CQ2018-22 pp.25-30 |
| IBISML | 2018-03-05 17:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97 |
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] | IBISML2017-97 pp.49-53 |
| SIP, IT, RCS | 2018-01-23 10:50 |
Kagawa | Sunport Hall Takamatsu | A Study on Carrier Frequency Offset between BLE Terminals for ICA based-SDMA in BLE Systems Masahiro Takigawa, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) IT2017-87 SIP2017-95 RCS2017-301 |
This paper shows that previously proposed Maximum A-posteriori Probability (MAP) detection based on differential detecto... [more] | IT2017-87 SIP2017-95 RCS2017-301 pp.189-194 |
| EA, ASJ-H | 2017-12-01 14:20 |
Overseas | University of Auckland (New Zealand) | [Invited Talk]
Blind Audio Source Separation based on Independent Component Analysis Shoji Makino (Univ. of Tsukuba) EA2017-78 |
This talk describes a method for the blind source separation (BSS) of convolutive mixtures of audio signals, especially ... [more] | EA2017-78 p.107 |
| CQ (2nd) |
2017-10-16 16:15 |
Fukuoka | Nishijin Plaza, Kyushu Univ. | [Poster Presentation]
Comparison of Interference Suppression Performance on Blind Adaptive Array Algorithms Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) |
We present performance comparison of interference suppression on blind adaptive array algorithms. Co-channel interferenc... [more] | |
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