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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CS | 2023-07-28 14:10 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry | Impact of Learning Models on Deep Joint Source Channel Coding Adaptable to 5G Systems Ryunosuke Yamamoto, Keigo Matsumoto, Yoshiaki Inoue (Osaka Univ.), Yuko Hara-Azumi (Tokyo Tech), Kazuki Maruta (TUS), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ.)  CS2023-56 |
With the development of 5G technology and the proliferation of IoT devices, Deep Joint Source-Channel Coding (Deep JSCC)... [more] | CS2023-56 pp.151-156 |
| SR | 2023-05-11 15:10 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
Continuous Compressible Deep Joint Source Channel Coding Junichiro Yamada, Katsuya Suto (UEC) SR2023-11 |
Deep Joint Source Channel Coding (DeepJSCC), which designs a source and channel coding model with deep neural networks a... [more] | SR2023-11 pp.58-60 |
| RECONF | 2022-06-08 15:25 |
Ibaraki | CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
A Compact High-Speed CNN Implementation based on Redundant Computational Analysis and FPGA Acceleration Li Qi, Li Hengyi, Meng Lin (Ritsumeikan Univ.) RECONF2022-21 |
Convolutional Neural Networks (CNNs) have achieved high performance and are widely used in various applications. However... [more] | RECONF2022-21 pp.89-94 |
| SIP, IT, RCS | 2021-01-21 13:10 |
Online | Online | A Study on the Joint Source-Channel Coding for Computing Functions
-- An Approach from a Dichotomy of Functions -- Naruki Joki, Shigeaki Kuzuoka (Wakayama Univ.) IT2020-82 SIP2020-60 RCS2020-173 |
In this paper，a problem of joint source-channel coding for computing functions of outputs from correlated sources is stu... [more] | IT2020-82 SIP2020-60 RCS2020-173 pp.101-106 |
| RCS, SR, SRW (Joint) |
2020-03-04 09:20 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
CSI Feedback Overhead Reduction by 3D CNN for Time-varying FDD Massive MIMO Masumi Kuriyama, Tomoaki Ohtsuki (Keio Univ.) RCS2019-332 |
Massive MIMO (Multiple-Input Multiple-Output) is a technology that uses a large number of antennas at a base station (BS... [more] | RCS2019-332 pp.63-68 |
| RCS | 2019-06-21 11:20 |
Okinawa | Miyakojima Hirara Port Terminal Building | Discrete Polar Decoder using Information Bottleneck Akira Yamada, Tomoaki Ohtsuki (Keio Univ.) RCS2019-92 |
Polar codes are attracting much attention and being used for control channels of the 5th generation of mobile communicat... [more] | RCS2019-92 pp.321-326 |
| AP, RCS (Joint) |
2017-11-08 16:20 |
Fukuoka | Fukuoka University | Channel Compression for Massive MIMO based on Multi-Dimensional Scaling with Channel Prediction Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2017-221 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation). However, th... [more] | RCS2017-221 pp.93-98 |
| RCS | 2017-06-23 10:50 |
Okinawa | Ishigaki Shoukou Kaikan | Adaptive Initial Interpolation Vector Setting Method for Iterative Time-Domain Compression Method of MIMO Channel State Information Masafumi Iizuka (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2017-84 |
In this paper, we investigate the adaptive setting for initial interpolation vector in our previously reported iterative... [more] | RCS2017-84 pp.203-208 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 14:55 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Examination of the basic and the complex impression scale of auditory presence (5)
-- Comparison of impressions on 22.2ch auditory contents varied about dynamic range -- Takashi Taniguchi (Osaka Gakuin Univ.), Satoshi Oode, Tomomi Hasegawa, Yasushige Nakayama (NHK) CQ2016-130 |
When broadcasting or network distributing sound contents, the dynamic range of the sound at the signal level is compress... [more] | CQ2016-130 pp.119-124 |
| EA, ASJ-H, IPSJ-MUS [detail] | 2016-10-14 14:30 |
Ishikawa | Noto Omakidai (Nanao) | A compression method for multi-channel signal based on the principal component analysis Hironori Sato, Arif Herusetyo Wicaksono, Shuichi Sakamoto, Cesar Daniel Salvador, Jorge Trevino, Yoiti Suzuki (Tohoku University) EA2016-32 |
Network usage costs are a serious obstacle to the transmission of multi-channel microphone arrays recordings when commun... [more] | EA2016-32 pp.7-11 |
| RCS | 2016-06-23 09:40 |
Okinawa | Univ. of the Ryukyus | On the Initial Interpolation Vector Setting for Iterative Time-Domain Compression Method of MIMO Channel State Information Masato Ozeki, Kenichi Higuchi (Tokyo Univ. of Science) RCS2016-58 |
In this paper, we investigate the setting for initial interpolation vector in our previously reported iterative time-dom... [more] | RCS2016-58 pp.69-74 |
| RCS | 2016-06-23 09:50 |
Okinawa | Univ. of the Ryukyus | Channel Compression for Massive MIMO based on Principal Component Analysis with Channel Prediction and Differential Quantization Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori, Tadao Nakagawa (NTT) RCS2016-59 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation).However, the... [more] | RCS2016-59 pp.75-80 |
| RCS, IT, SIP | 2016-01-18 11:25 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | Iterative Time-Domain Compression Method of MIMO Channel State Information Using Iterative Updates of Path Selection Tomohiro Nabeshima, Kenichi Higuchi (Tokyo Univ. of Science) IT2015-56 SIP2015-70 RCS2015-288 |
In this paper, we propose an enhanced approach of our previously proposed iterative time-domain compression method multi... [more] | IT2015-56 SIP2015-70 RCS2015-288 pp.49-54 |
| US | 2015-10-09 14:00 |
Ishikawa | Kanazawa Institute of Technology | Study about multi-channelization in ultrasonic distance measurement using LFM signal coded by M-sequence Kota Yamanaka, Shinnosuke Hirata, Hiroyuki Hachiya (Tokyo Tech) US2015-60 |
In ultrasonic distance measurement by the pulse-echo method, the signal-to-noise ratio (S/N) of the received echo and th... [more] | US2015-60 pp.13-18 |
| RCS | 2015-06-25 10:13 |
Hokkaido | Hokkaido Univ. | Iterative Time-Domain Compression Method of MIMO Channel State Information Tomohiro Nabeshima, Kenichi Higuchi (Tokyo Univ. of Science) RCS2015-66 |
In this paper, we propose an iterative time-domain compression method multiple-input multiple-output (MIMO) channel stat... [more] | RCS2015-66 pp.119-124 |
| ITS, WBS (Joint) |
2012-11-27 11:15 |
Kumamoto | Kumamoto Univ. | A traffic reduction method with data compression at repeaters of a PLC multi-point data gathering system Tomohiro Taniguchi, Kentaro Kobayashi, Hiraku Okada, Masaaki Katayama (Nagoya Univ.) WBS2012-47 |
In this paper the data gathering system is realized by Power Line Communication to promote power saving by visualizing t... [more] | WBS2012-47 pp.63-67 |
| RCS, MoNA, SR (Joint) |
2011-03-04 14:30 |
Kanagawa | YRP | A Study on Serial Concatenated Structures Composed of Channel and Product Codes in Multiple Acess Relay Channels Naoyuki Takada, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) RCS2010-293 |
This paper presents a joint channel-and-product coded system in multiple access relay channels (MARC) for an uplink tran... [more] | RCS2010-293 pp.259-264 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Statistical mechanical analysis of hierarchical random code ensemble in signal processing Koujin Takeda (Tokyo Tech.), Tomoyuki Obuchi (Osaka Univ.), Kazutaka Takahashi (Tokyo Tech.) IBISML2010-90 |
The relation between signal processing in information science and statistical physics has been intensively discussed. In... [more] | IBISML2010-90 pp.231-238 |
| SIS | 2010-06-11 11:30 |
Hokkaido | Abashiri Public Auditorium | Hierarchical Image Transmission Method over Mesh Network Masayuki Kurosaki, Tatsumi Uwai, Hiroshi Ochi (Kyushu Inst. of Tech.) SIS2010-18 |
In transmitting image using the network, image was encoded for the compression.Traditional encoding improves the efficie... [more] | SIS2010-18 pp.99-104 |
| RCS, SIP | 2010-01-21 14:10 |
Fukuoka | Kyushu Univ. | Performance Evaluation of the Proposed CSI Compression Scheme with Channel Estimation Error and Feedback Delay Yasuyuki Hatakawa, Satoshi Konishi (KDDI R&D Labs) SIP2009-93 RCS2009-227 |
This report presents the evaluation results of the Channel State Information (CSI) compression scheme proposed by the au... [more] | SIP2009-93 RCS2009-227 pp.115-120 |
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