Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
WBS, IT, ISEC |
2021-03-05 14:45 |
Online |
Online |
Consideration of embedding methods and machine learning models for detecting malicious URLs Qisheng Chen, Kazumasa omote (Univ. of Tsukuba) IT2020-157 ISEC2020-87 WBS2020-76 |
Nowadays, Internet access is becoming more and more popular, which makes the harm of malicious websites more and more se... [more] |
IT2020-157 ISEC2020-87 WBS2020-76 pp.281-287 |
IT, SIP, RCS |
2017-01-19 13:05 |
Osaka |
Osaka City Univ. |
A small computation algorithm of the LRLS filter with its short length Eisuke Horita (Kanazawa Univ.) IT2016-64 SIP2016-102 RCS2016-254 |
The leaky recursive least-squares (LRLS) filter whose computational complexity is quadratic in its
filter's length $N$ ... [more] |
IT2016-64 SIP2016-102 RCS2016-254 pp.105-110 |
MBE, NC (Joint) |
2016-03-23 16:30 |
Tokyo |
Tamagawa University |
Adaptive Filtering for Frequency Fluctuating Periodic Interference Yusuke Matsubara, Naohiro Toda (Aichi Prefectural Univ.) MBE2015-129 |
Periodic interference frequently disturbs the measurement of small signals and causes problems. Adaptive filters are pot... [more] |
MBE2015-129 pp.149-154 |
RCS |
2014-10-16 10:10 |
Kanagawa |
Keio Univ. |
Study of Channel Prediction for Multi-user MIMO Precoding System Toshiki Tanaka, Hidekazu Murata (Kyoto Univ.) RCS2014-158 |
Multi-user multiple-input multiple-output (MU-MIMO) technique is one of the most important contributions to improve the ... [more] |
RCS2014-158 pp.13-18 |
RCC, ASN, NS, RCS, SR (Joint) |
2014-08-01 15:40 |
Kyoto |
Kyoto Terrsa |
A Study of Fast Tracking Equalization for SC-FDMA and OFDM Systems in Multipathfading Environment Takuya Akiyama, Takahiro Yamaguchi, Takaharu Nagahashi, Kazuhiro Yamaguchi, Hideaki Matsue (Tokyo Univ. of Science,Suwa) RCS2014-137 |
In this paper, SC-FDMA and OFDM systems with fast tracking equalizer based on RLS algorithm in multipath fading environm... [more] |
RCS2014-137 pp.261-266 |
CAS, SIP, MSS, VLD, SIS [detail] |
2014-07-10 11:00 |
Hokkaido |
Hokkaido University |
Doppler-Resistant Channel Estimation Method Using RLS Algorithm for MIMO-OFDM Systems Masahito Umehara, Hiroshi Tsutsui, Yoshikazu Miyanaga (Hokkaido Univ.) CAS2014-26 VLD2014-35 SIP2014-47 MSS2014-26 SIS2014-26 |
Frequency deviation by the Doppler shift in the multipath environment deteriorates the demodulation accuracy significant... [more] |
CAS2014-26 VLD2014-35 SIP2014-47 MSS2014-26 SIS2014-26 pp.135-140 |
RCS |
2014-06-17 10:29 |
Okinawa |
Okinawa-ken Seinenkaikan (Naha) |
Study of Channel Prediction for Multi-user MIMO Precoding System Toshiki Tanaka, Hidekazu Murata (Kyoto Univ.) RCS2014-42 |
Multi-user multiple-input multiple-output (MU-MIMO) systems are able to increase the capacity of wireless systems as lon... [more] |
RCS2014-42 pp.61-64 |
RCS, SR, SRW (Joint) |
2014-03-05 10:35 |
Tokyo |
Waseda Univ. |
Performance Comparison between Training Sequence Inserted OFDM and Single-carrier Transmission under Doubly-selective Fading Channel Shinya Onuma, Kohei Abo, Ryo Nagaoka, Katsuhiro Temma, Fumiyuki Adachi (Tohoku Univ.) RCS2013-377 |
In training sequence (TS) inserted block transmission, since the TS can be utilized for channel estimation, no
pilot bl... [more] |
RCS2013-377 pp.431-436 |
RCS, SR, SRW (Joint) |
2013-03-01 14:00 |
Tokyo |
Waseda Univ. |
Study on Frequency-Domain Channel Estimation Using Polynomial Prediction for Training Sequence Inserted Single-Carrier Block Transmission Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2012-348 |
In this paper, we study frequency-domain channel estimation scheme for training sequence inserted single-carrier (TS-SC)... [more] |
RCS2012-348 pp.381-386 |
SR, AN, USN, RCS (Joint) |
2012-10-19 14:05 |
Fukuoka |
Fukuoka univ. |
RLS-based Channel Estimation for Training Sequence Inserted Single-carrier Block Transmission Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2012-153 |
In this paper, we study channel estimation schemes for training sequence inserted single-carrier (TS-SC) block transmiss... [more] |
RCS2012-153 pp.161-166 |
CAS, CS, SIP |
2009-03-03 09:35 |
Gifu |
Nagaragawa Convention Center |
An analysis of an estimation error about the secondary path of the ANC system and an application of a computationally efficient LRLS algorithm Youhei Kasutani, Eisuke Horita (Kanazawa Univ.) CAS2008-119 SIP2008-182 CS2008-93 |
In ANC system, it is possible for the systems to be unstable in the Filtered-X algorithm using RLS algorithm. This pheno... [more] |
CAS2008-119 SIP2008-182 CS2008-93 pp.107-112 |
SIP, RCS |
2009-01-22 15:10 |
Kumamoto |
Kumamoto University |
A study of Efficiently and Fast Tracking Equalization in OFDM Systems Nobuyuki Aoki, Nari Tanabe, Hideaki Matsue, Yukihiro Hirata (Tokyo University of science suwa) SIP2008-138 RCS2008-186 |
A 1-tap equalizer with fast tracking method based on RLS algorithm in the frequency domain for OFDM system was studied. ... [more] |
SIP2008-138 RCS2008-186 pp.83-88 |
AP, RCS (Joint) |
2008-11-21 09:45 |
Ishikawa |
Kanazawa Institute of Technology |
A Diversity Combining Method for Improving Mobile Reception Performance in FM Broadcasting Masataka Imao, Jun Ido, Eiji Arita, Hiroyuki Nakayama (Mitsubishi Electric) RCS2008-146 |
A mobile reception system in FM broadcasting requires strict control capability for various channel environments. In thi... [more] |
RCS2008-146 pp.95-100 |
RCS, SIP |
2008-01-24 12:50 |
Hiroshima |
Hiroshima City Uni. |
RLS-based Channel Estimation for DS-CDMA Frequency-domain Equalization Yohei Kojima, Kazuaki Takeda, Fumiyuki Adachi (Tohoku Univ.) SIP2007-142 RCS2007-145 |
Since the frequency spectrum of the pilot chip sequence is not constant, the channel estimation accuracy degrades. Recen... [more] |
SIP2007-142 RCS2007-145 pp.67-72 |
RCS, SIP |
2008-01-25 09:50 |
Hiroshima |
Hiroshima City Uni. |
A leaky filtered-X RLS algorithm using an estimation error in the secondary path Satoshi Ochiai, Eisuke Horita (Kanazawa Univ.) SIP2007-164 RCS2007-167 |
A filtered-x algorithm has an issue that it can lead to an instability of an ANC system because of an error between the ... [more] |
SIP2007-164 RCS2007-167 pp.39-44 |
RCS, SIP |
2008-01-25 13:50 |
Hiroshima |
Hiroshima City Uni. |
A convergence analysis of a time-varying LRLS filter and its approximation filter Kazunori Nakagawa, Eisuke Horita (Kanazawa Univ.) SIP2007-178 RCS2007-181 |
A leaky RLS algorithm is needed to be set a parameter $\alpha$ for its correlation matrix to be regularized\cite{ref_2}\... [more] |
SIP2007-178 RCS2007-181 pp.121-126 |
RCS, SIP |
2007-01-24 11:40 |
Okinawa |
NICT Okinawa |
Channel Estimation Method Using Differential Model of Fading Fluctuation for EM Algorithm Applied to Mobile OFDM MAP Detection Kazushi Muraoka, Hiroshi Suzuki, Kazuhiko Fukawa, Satoshi Suyama (Tokyo Tech) SIP2006-124 RCS2006-182 |
The EM algorithm has been applied to the MAP detection, because the latter requires a prohibitive amount of computationa... [more] |
SIP2006-124 RCS2006-182 pp.43-48 |
AP, SAT (Joint) |
2006-07-07 13:00 |
Hiroshima |
Hiroshima Institute of Technology |
Performance comparison of LMS, RLS and QRD-RLS algorithm by FPGA Implementation Yoshiaki Yokoyama, Hirokazu Oba (Yokohama Natl. Univ.), Minseok Kim (Brains Co.,Ltd.), Hiroyuki Arai (Yokohama Natl. Univ.) AP2006-51 |
Minimum Mean Square Error(MMSE) Adaptive Array Antenna is an effective technique to achieve high-speed mobile communicat... [more] |
AP2006-51 pp.73-78 |
CAS, SIP, CS |
2006-03-06 15:05 |
Okinawa |
Univ of Ryukyu |
On a convergence analysis of a leaky RLS filter and an approximate leaky RLS filter Hiromichi Sakai, Eisuke Horita (Kanazawa Univ.) |
In adaptive signal processing, an LRLS algorithm obtained by using a ridge regression is required to set an appropriate ... [more] |
CAS2005-104 SIP2005-150 CS2005-97 pp.49-54 |
RCS, AP, WBS, SR, MW, MoNA (Joint) |
2006-03-01 16:20 |
Kanagawa |
YRP |
Recursive Channel Estimator based on the factor graph for Iterative-MAP Receiver of MIMO-OFDM Mobile Communications Tsuyoshi Kashima, Kazuhiko Fukawa, Hiroshi Suzuki (TIT) |
This report proposes novel channel estimation methods for an iterative maximum {\it a posteriori} probability (MAP) rece... [more] |
RCS2005-194 pp.97-102 |