Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 15:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Towarods Similarity-Preserving Post-Training Quantization for Lightweight Maize Disease Detection Carlos Victorino Padeiro, Tse-Wei Chen, Takahiro Komamizu, Ichiro IDE (Nagoya University) IMQ2023-90 IE2023-145 MVE2023-119 |
The traditional crop disease diagnosis process, relying on expert visual observation, is costly, time-consuming, and pro... [more] |
IMQ2023-90 IE2023-145 MVE2023-119 pp.414-419 |
RCS, SAT (Joint) |
2023-08-31 10:30 |
Nagano |
Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
Enhancing CSI Feedback in FDD Massive MIMO Systems using Dropout-based Deep Neural Network Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) RCS2023-101 |
Accessing precise downlink channel state information (CSI) is crucial in maximizing the
benefits of frequency division ... [more] |
RCS2023-101 pp.1-4 |
RCS |
2023-06-16 10:40 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Key Reconciliation in a Wireless Physical Layer Secret Key Agreement Using Adaptive Quantization Codewords Seiju Yoshida, Hideichi Sasaoka, Hisato Iwai, Shinsuke Ibi (Doshisha) RCS2023-70 |
In wireless physical layer secret key agreement, key reconciliation methods and their efficiency improvement are importa... [more] |
RCS2023-70 pp.247-252 |
RCS, SR, SRW (Joint) |
2023-03-01 10:25 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Novel DNN-based CSI Feedback with Quantization for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Gui Guan (NJUPT) RCS2022-252 |
Accessing the accurate downlink channel state information
(CSI) is essential to take full advantage of frequency
divis... [more] |
RCS2022-252 pp.31-35 |
AP |
2022-10-19 12:20 |
Gifu |
GIFU CITY CULTURE CENTER (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Study on key reconciliation for secret key agreement based on radio propagation characteristic Seiju Yoshida, Hideichi Sasaoka, Hisato Iwai, Shinsuke Ibi (Doshisha Univ.) AP2022-130 |
One of the secret key agreement based on radio propagation characteristics is to generate a quantized codeword by quanti... [more] |
AP2022-130 pp.154-155 |
MIKA (3rd) |
2022-10-14 10:40 |
Niigata |
Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A New CSI Feedback with Quantization Based on Adaptive DNN for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divisio... [more] |
|
RCS |
2021-06-25 10:20 |
Online |
Online |
A Study on Deep Unfolding-Aided Quantized AMP for High-Dimensional Signal Detection Atsunori Shimamura, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2021-68 |
We consider a look-up table (LUT)-based multi-user detection (MUD) via quantized approximate message passing (AMP) in la... [more] |
RCS2021-68 pp.226-231 |
NLP, MSS (Joint) |
2021-03-16 10:45 |
Online |
Online |
Approximate formula of the mean square quantization error of golden ratio encoders Yoshikatsu Kashiwabara, Yutaka Jitsumatsu (Kyushu Univ.) NLP2020-63 |
The Golden Ratio Encoder (GRE) is a type of analog-to-digital (A/D) conversion method. GRE expands the input analog valu... [more] |
NLP2020-63 pp.47-52 |
IT, SIP, RCS |
2020-01-23 16:15 |
Hiroshima |
Hiroshima City Youth Center |
[Invited Talk]
Design of Δ∑ modulators matched to their connected systems Shuichi Ohno (Hiroshima Univ.) IT2019-58 SIP2019-71 RCS2019-288 |
Quantization maps a large set of input values onto a smaller set of output values, which is fundamental for digital proc... [more] |
IT2019-58 SIP2019-71 RCS2019-288 p.131 |
SIS |
2019-12-12 14:55 |
Okayama |
Okayama University of Science |
Machine learning algorithms with quantized images and their influence Takayuki Osakabe, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro.Univ.) SIS2019-27 |
Recently, appling quantized images to machine learning algorithms
is expected to enhance robustness against adversarial... [more] |
SIS2019-27 pp.23-28 |
EMCJ, IEE-SPC (Joint) |
2019-11-15 15:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Measurement of an Effect of Resolution of Side Channel Waveform on Acquisition of Secret Key Kohei Utsumi (Tohoku Univ), Yu-ichi Hayashi (NAIST), Takaaki Mizuki, Hideaki Sone (Tohoku Univ) EMCJ2019-73 |
A side-channel attack is known as a serious threat which can obtain a secret key by analyzing physical information leaka... [more] |
EMCJ2019-73 pp.13-16 |
RCS |
2019-10-25 14:10 |
Kanagawa |
Yokosuka Research Park |
[Invited Lecture]
Digital RoHR for Distributed Collaborative MIMO Reception Daisuke Umehara (Kyoto Inst. of Tech.) RCS2019-198 |
We apply the Lloyd-Max quantization to a distributed collaborative interference canceller (DCIC) with digital higher-fre... [more] |
RCS2019-198 pp.109-114 |
SIS |
2019-03-07 12:15 |
Tokyo |
Tokyo Univ. Science, Katsushika Campus |
A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51 |
In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient color... [more] |
SIS2018-51 pp.75-80 |
RCS, SIP, IT |
2019-01-31 09:25 |
Osaka |
Osaka University |
A Study on Replica Generation Using Multi-layer LUT based on Information Bottleneck for MF-GaBP in Massive MIMO Detection Liwen Wang, Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) IT2018-36 SIP2018-66 RCS2018-243 |
This paper proposes a symbol replica generation method using multi-layer look-up table (LUT) designed based on the infor... [more] |
IT2018-36 SIP2018-66 RCS2018-243 pp.7-12 |
EMM |
2017-11-07 13:00 |
Kagoshima |
Kagoshima Univ. (Inamori Academy) |
A Study of DCT-OFDM-Based Watermarking Scheme Assisted by Error Correcting Code Shogo Shigemoto, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2017-64 |
There are two variants for the DCT-OFDM-based watermarking scheme that retains high robustness against various kinds of ... [more] |
EMM2017-64 pp.47-52 |
NS, ASN, RCC, RCS, SR (Joint) |
2017-07-19 16:00 |
Hokkaido |
Hokkaido Univ. |
Performance Evaluation of Collaborative Interference Canceller with Quantization Error and Spatial Correlation Rieko Saiki, Daisuke Umehara (Kyoto Inst of Tech.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) RCS2017-104 |
Collaborative Interference Canceller (CIC) has been proposed to enhance cellular networks. CIC enables us to a large sca... [more] |
RCS2017-104 pp.67-72 |
RCS |
2017-06-23 10:20 |
Okinawa |
Ishigaki Shoukou Kaikan |
Effect of Quantization Noise of Iterative Digital Self-Interference Canceller for OFDM Using Full Duplex Hiroki Yamada, Takahiro Ohtomo, Mamoru Sawahashi (Tokyo City Univ.), Keisuke Saito (NTT DOCOMO) RCS2017-82 |
This paper investigates the effect of quantization noise which is caused by the number of quantization bits of analod-to... [more] |
RCS2017-82 pp.191-196 |
RCC, MICT |
2017-05-11 15:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Optimal Bit Allocation for Quantization of Observation Signals in Feedback Control Kazuya Hanamoto, Shuichi Ohno (Hiroshima Univ.) RCC2017-1 MICT2017-1 |
An optimal bit allocation to observation signals
in digital feedback control systems is developed, where
each commun... [more] |
RCC2017-1 MICT2017-1 pp.1-6 |
RCC, MICT |
2017-05-11 16:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A coding scheme for state feedback communication using heterogeneous BER of QAM signals Takashi Hosono (Kyoto Univ.), Kazunori Hayashi (Osaka City Univ.) RCC2017-3 MICT2017-3 |
In Networked Control Systems, whose main purpose is not communications, it is commonly hard to introduce advanced source... [more] |
RCC2017-3 MICT2017-3 pp.11-16 |
CAS, CS |
2017-02-24 09:30 |
Shiga |
|
Capacity of Collaborative Interference Canceller: Quantization Error and Spatial Correlation Daisuke Umehara, Rieko Saiki (Kyoto Inst. of Tech.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) CAS2016-125 CS2016-86 |
Let us assume that space division multiplexing (SDM) signal is transmitted at a base station (BS) with a number of anten... [more] |
CAS2016-125 CS2016-86 pp.63-68 |