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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SR, SRW (Joint) |
2024-03-13 13:50 |
Tokyo | The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
Performance Improvement for Differential OFDM in Shallow Sea Experiments of Underwater Acoustic Communications Taichi Fujita, Takaaki Shimomura, Kouichi Hashimoto, Takumi Yoshimura, Hiroshi Kubo (Ritsumeikan Univ.)  RCS2023-261 |
The authors have been evaluating differential orthogonal frequency division multiplexing (OFDM) by means of the experime... [more] | RCS2023-261 pp.42-47 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:10 |
Fukuoka | Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] | SeMI2023-75 pp.25-30 |
|
| MW | 2023-03-02 10:40 |
Tottori | Tottori Univ. (Primary: On-site, Secondary: Online) |
Memory-Driven MLP-Mixer Deep Learning Model for Intelligent Reflecting Surface-Assisted mmWave Systems Beam Prediction Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada (NAIST) MW2022-159 |
Although deep learning (DL) based beam prediction for intelligent reflecting surface (IRS)-assisted millimeter wave (mmW... [more] | MW2022-159 pp.13-18 |
| IT, RCS, SIP | 2023-01-25 10:00 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Antenna Selection Method for Improving DoA Estimation Accuracy Naotaka Hirayama, Koichi Adachi (UEC) IT2022-51 SIP2022-102 RCS2022-230 |
This paper focuses on a position estimation method that does not require GNSS or infrastructure equipment and can be app... [more] | IT2022-51 SIP2022-102 RCS2022-230 pp.126-131 |
| SeMI, SeMI (Joint) |
2023-01-19 16:05 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
Received SNR Prediction Using Two-sided Beam Search in mmWave Communication: An Experimental Study Itsuki Yonemura, Ryosuke Hanahara, Takamochi Kanda, Koji Yamamoto (Kyoto Univ.), Takuto Arai, Syuki Wai, Tatsuhiko Iwakuni, Daisei Uchida, Naoki Kita (NTT) SeMI2022-87 |
This paper experimentally demonstrates a novel received signal-to-noise ratio (SNR) prediction based on a two-sided beam... [more] | SeMI2022-87 pp.65-69 |
| SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS | 2022-05-26 10:03 |
Okinawa | (Primary: On-site, Secondary: Online) |
An Initial Study on Display-to-Camera Communication Systems Using Adversarial Attack on CNN Depth Estimation Model Lee Changseok, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2022-2 |
Hidden screen-camera communication requires visual quality and robust communication performance. In this study, we demon... [more] | SeMI2022-2 pp.5-10 |
| RCS, SR, SRW (Joint) |
2022-03-02 10:25 |
Online | Online | Random-Phase based Physical-Layer Security Scheme Robust against Time-Variant MIMO Channels Yurika Matsumoto, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2021-252 |
As conventional physical layer security schemes for wireless communications, artificial noise (AN) and artificial fast f... [more] | RCS2021-252 pp.7-12 |
| RCS, SIP, IT | 2022-01-20 11:20 |
Online | Online | A study on application of differential trellis-coded OFDM employing multiple differential detection with channel prediction Kota Iwamoto, Hiroshi Kubo (Ritsumeikan Univ.) IT2021-32 SIP2021-40 RCS2021-200 |
This paper discusses differential orthogonal frequency division multiplexing (OFDM) for severe time and frequency select... [more] | IT2021-32 SIP2021-40 RCS2021-200 pp.24-29 |
| SIS | 2021-03-04 10:00 |
Online | Online | A Proposed Method of Loud Boat Prediction with Boat type by Boat Noise Using CNN Haruki Yamaguchi, Kenji Muto (Shibaura Inst. Tech.), Yosuke Kobayashi (Muroran Inst. Tech.) SIS2020-38 |
One of a canal, some boats generate loud sound reaching the noise level of 70 dB inside houses. We have proposed a syste... [more] | SIS2020-38 pp.15-20 |
| SAT, RCS (Joint) |
2020-08-21 15:35 |
Online | Online | Differential trellis-coded OFDM employing multiple differential detection with channel prediction for severe doubly-selective environment Kota Iwamoto, Tetsuro Kubo, Hiroshi Kubo (Ritsumeikan Univ.) RCS2020-89 |
This paper proposes differential trellis-coded orthogonal frequency division multiplexing (OFDM) for severe time and fre... [more] | RCS2020-89 pp.55-60 |
| PRMU, IPSJ-CVIM | 2020-05-15 10:05 |
Online | Online | PRMU2020-7 |
Handwriting prediction is a difficult task because it has uncertainty due to class ambiguity, in addition to chaotic beh... [more] | PRMU2020-7 pp.35-38 |
| IT, SIP, RCS | 2020-01-24 09:55 |
Hiroshima | Hiroshima City Youth Center | Multi-Carrier Differential Trellis-Coded Modulation/Demodulation Employing Multiple Differential Detection with Channel Prediction Tetsuro Kubo, Takuya Takahashi, Hiroshi Kubo (Ritsumeikan Univ.) IT2019-61 SIP2019-74 RCS2019-291 |
This paper proposes a modulation scheme employing multi-carrier (MC) differential trellis-coded modulation (DTCM) and mu... [more] | IT2019-61 SIP2019-74 RCS2019-291 pp.143-148 |
| NC, MBE | 2019-12-06 11:00 |
Aichi | Toyohashi Tech | Prediction of EEG Time Series with Reservoir Computing Takayuki Koga, Yuta Takahashi, Rieko Osu (Waseda Univ) MBE2019-48 NC2019-39 |
We applied Reservoir Computing (RC) to predict and generate EEG time-series. In the prediction, 10sec EEG was used for t... [more] | MBE2019-48 NC2019-39 pp.19-24 |
| RCS | 2019-06-21 10:10 |
Okinawa | Miyakojima Hirara Port Terminal Building | Differential Trellis-Coded Modulation Employing Multiple Differential Detection with Channel Prediction Tetsuro Kubo, Takuya Takahashi, Hiroshi Kubo (Ritsumeikan Univ.) RCS2019-86 |
This paper discusses transmission technologies with good tracking capability and good required signal to noise ratio (SN... [more] | RCS2019-86 pp.285-290 |
| EMM | 2018-03-05 14:35 |
Kagoshima | Naze Community Center (Amami-Shi, Kagoshima) | [Poster Presentation]
Study on spread-spectrum based speech watermarking method for linear predictive coding Reiya Namikawa, Masashi Unoki (JAIST) EMM2017-79 |
This paper investigates availability of spread-spectrum based speech watermarking method for linear predictive coding. ... [more] |
EMM2017-79 pp.13-16 |
| ISEC, WBS, IT | 2017-03-10 11:45 |
Tokyo | TOKAI University | BER Prediction of Convolutional Coded OFDM Transmission with Application to IEEE 802.11 Wireless LAN Norisato Suga, Naoto Egashira, Kazuto Yano, Tomoaki Kumagai (ATR) IT2016-125 ISEC2016-115 WBS2016-101 |
This paper proposes a BER (bit error rate) prediction method for COFDM (coded orthogonal frequency division multiplexin... [more] | IT2016-125 ISEC2016-115 WBS2016-101 pp.167-172 |
| EA, ASJ-H | 2015-08-03 13:30 |
Miyagi | Tohoku Univ., Research Inst. of Electrical Communication | Study on restoration of instantaneous amplitude and phase of speech signal in noisy reverberant environments Yang Liu, Naushin Nower (JAIST), Yonghong Yan (IOA), Masashi Unoki (JAIST) EA2015-11 |
We have proved that restoring the instantaneous amplitude as well as instantaneous phase on Gammatone filterbank plays a... [more] | EA2015-11 pp.7-12 |
| SP, WIT, ASJ-H | 2014-06-19 16:00 |
Ishikawa | Instantaneous amplitude and phase restoration using Kalman filter for speech enhancement Yang Liu, Naushin Nower, Masashi Unoki (JAIST) SP2014-51 WIT2014-6 |
This paper proposes a method of restoring the instantaneous amplitudes and phases using Kalman filter with linear predic... [more] | SP2014-51 WIT2014-6 pp.27-32 |
|
| EA, US (Joint) |
2014-01-28 10:25 |
Osaka | Kansai University, Centenary Memorial Hall | Modified-error feedback ANC system with linear prediction filter Nobuhiro Miyazaki, Yoshinobu Kajikawa (Kansai Univ.) EA2013-110 |
We have studied an ANC (Active Noise Control) system for reducing MR noise, which is generated from MRI device and reali... [more] | EA2013-110 pp.39-44 |
| SP | 2013-11-21 14:30 |
Nara | Nara Institute of Science and Technology | Evaluation of Excitation Feature Prediction in a Hybrid Approach to Electrolaryngeal Speech Enhancement Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2013-72 |
We implement removing micro-prosody with low-pass filtering and avoiding Unvoiced/Voiced (U/V) prediction as part of a h... [more] | SP2013-72 pp.7-12 |
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