Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2019-03-05 15:25 |
Tokyo |
University of Electro Communications |
Periodic Interference Cancellation Including Steep Characteristic Change With Adaptive Filter Kengo Kamei, Naohiro Toda (Aichi Pref. Univ.), Katsuyuki Hagiwara (Mie Univ.) MBE2018-100 |
When measuring bioelectric signals such as electroretinogram(ERG), periodic interference originated from power lines bec... [more] |
MBE2018-100 pp.71-76 |
ASN, SRW (Joint) |
2018-11-06 09:00 |
Tokyo |
Tokyo Denki University, Tokyo Senju Campus |
A Study of Transmission Performance Improvement of QAM Single-Carrier Optical Wireless Communications Yuuya Tanaka, Tadao Nakagawa (Tottori Univ.) SRW2018-35 |
Current optical wireless communications systems use intensity modulation / direct detection (IM/DD), thus the baseband s... [more] |
SRW2018-35 pp.67-70 |
RCS |
2018-10-18 11:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Lecture]
Experimental Evaluation Using Software-Defined Radio for In-Band Full-Duplex Communications Yuichi Miyaji, Takeshi Ishii, Takahisa Fukui, Atsushi Koami, Kazuki Komatsu, Hideyuki Uehara (Toyohashi Univ. of Tech.) RCS2018-156 |
In-band full duplex, which is a new communication system attracting attention for 5G and beyond, can transmit and receiv... [more] |
RCS2018-156 p.37 |
SRW |
2018-08-20 14:00 |
Okayama |
Okayama Univ. |
Motion artifact removal in electrocardiogram estimation using wearable biosensors Shohei Kozuki, Tadao Nakagawa (Tottori Univ.) SRW2018-17 |
Long-term electrocardiogram monitoring with wearable biosensors is attracting attention in healthcare application. Weara... [more] |
SRW2018-17 pp.47-50 |
SAT, RCS (Joint) |
2018-08-09 14:10 |
Iwate |
Iwate University |
[Invited Lecture]
Sparse Adaptive Algorithms to Realize Non-contact Heartbeat Detection Chen Ye, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.) SAT2018-34 RCS2018-137 |
The development of non-contact monitoring technique has a great influence on the heartbeat monitoring, such as, for driv... [more] |
SAT2018-34 RCS2018-137 pp.29-34(SAT), pp.31-36(RCS) |
EMCJ, MICT (Joint) |
2018-03-16 11:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Robust Sparse Adaptive Algorithm for Non-contact Heartbeat Detection with Doppler Radar Chen Ye, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.) MICT2017-52 |
The development of non-contact monitoring technique has a great influence on the heartbeat monitoring, such as, for driv... [more] |
MICT2017-52 pp.5-10 |
MBE, NC (Joint) |
2018-03-13 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Optimization of window function in adaptive noise canceller Yusuke Matsubara, Naohiro Toda (Aichi Pref. Univ.) MBE2017-82 |
The adaptive noise canceller using the adaptive filter is known as a method for removing noise which disturbs signal mea... [more] |
MBE2017-82 pp.17-20 |
CS, CAS |
2018-03-13 15:55 |
Fukuoka |
Nishijin Plaza, Kyushu University |
A Channel State Information Feedback Scheme for Multi-user MIMO using Guard Band Frequency Response extrapolated by Adaptive Filter Futoshi Fukuda, Fumio Takahata (Waseda Univ.) CAS2017-159 CS2017-113 |
Several compression schemes of channel state information (CSI) for the downlink multi-user MIMO are proposed, in which a... [more] |
CAS2017-159 CS2017-113 pp.145-150 |
WBS, IT, ISEC |
2018-03-09 15:20 |
Tokyo |
Katsusika Campas, Tokyo University of Science |
On Adaptive Self-Interference Suppression for Full Duplex Filter-and-Forward Relaying Hayato Teshiromori, Teruyuki Miyajima, Yoshiki Sugitani (Ibaraki Univ.) IT2017-149 ISEC2017-137 WBS2017-130 |
In this paper, we study adaptive Self-Interference (SI) suppression using an adaptive FIR filter for In- -Band Full-Dupl... [more] |
IT2017-149 ISEC2017-137 WBS2017-130 pp.275-280 |
RCS |
2017-10-20 13:00 |
Miyagi |
Tohoku Institute of Technology |
[Invited Lecture]
Self-Interference Cancellation for In-Band Full-Duplex Yuichi Miyaji, Kazuki Komatsu, Hideyuki Uehara (Toyohashi Univ. of Tech.) RCS2017-193 |
In-band full duplex, which is a new communication system attracting attention for 5G and beyond, can transmit and receiv... [more] |
RCS2017-193 p.141 |
SP, SIP, EA |
2017-03-01 15:55 |
Okinawa |
Okinawa Industry Support Center |
[Invited Talk]
Multikernel Adaptive Filtering: Signal Processing and Machine Learning Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108 |
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] |
EA2016-113 SIP2016-168 SP2016-108 pp.177-182 |
SP, SIP, EA |
2017-03-02 09:00 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Convergence rate analysis of stereo echo canceller with pre-processing units in both channels Arata Honda, Kazushi Ikeda (NAIST) EA2016-122 SIP2016-177 SP2016-117 |
The convergence properties of stereo echo cancelers (SECs) with pre-processing were examined. SECs have a slow convergen... [more] |
EA2016-122 SIP2016-177 SP2016-117 pp.227-230 |
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 |
VLD, CAS, MSS, SIP |
2016-06-17 13:40 |
Aomori |
Hirosaki Shiritsu Kanko-kan |
Simultaneous Adaptation of Kernel Centers and Width for Kernel Adaptive Filter Tomoya Wada, Toshihisa Tanaka (TUAT) CAS2016-27 VLD2016-33 SIP2016-61 MSS2016-27 |
A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. One of the major cha... [more] |
CAS2016-27 VLD2016-33 SIP2016-61 MSS2016-27 pp.145-150 |
EA, SP, SIP |
2016-03-28 13:15 |
Oita |
Beppu International Convention Center B-ConPlaza |
[Poster Presentation]
Study on influence of autocorrelation of measurement noise on affine projection algorithm Suehiro Shimauchi (NTT) EA2015-78 SIP2015-127 SP2015-106 |
Affine projection algorithm (APA) is one of the linear system identification algorithms.
Although the APA achieves an ... [more] |
EA2015-78 SIP2015-127 SP2015-106 pp.69-74 |
EA, SP, SIP |
2016-03-28 13:15 |
Oita |
Beppu International Convention Center B-ConPlaza |
[Poster Presentation]
A Control Method of Adaptive Filters Using Past Input Signals and Filter Coefficients Tomoahru Awano, Atsuyoshi Yano, Jun Ishii (Mitsubishi Electric Corp) EA2015-96 SIP2015-145 SP2015-124 |
Double talk situation makes an adaptive filter mistake the estimation
of an echo pass (a transfer function) and the per... [more] |
EA2015-96 SIP2015-145 SP2015-124 pp.175-178 |
EA, SP, SIP |
2016-03-29 09:00 |
Oita |
Beppu International Convention Center B-ConPlaza |
[Poster Presentation]
Pre-invese Type Active Noise Control with Power Scheduling Ryousuke Minagi, Kazushi Otsuki, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) EA2015-119 SIP2015-168 SP2015-147 |
Pre-inverse type active noise control (ANC) estimates the inverse filter of a secondary path, and its filter is introduc... [more] |
EA2015-119 SIP2015-168 SP2015-147 pp.293-298 |
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 |
KBSE |
2016-03-04 09:20 |
Oita |
|
Elimination of the influence of posture variation in brain-activity measurement by NIRS Jun Yamazaki, Sei Takahashi (Nihon Univ.), Kenji Ishida (DENSO), Kazuki Furukawa, Hiroshi Mochizuki, Hideo Nakamura (Nihon Univ.) KBSE2015-61 |
The brain activity measurement by NIRS brain measuring apparatus using near-infrared spectroscopy, there is no problem i... [more] |
KBSE2015-61 pp.75-78 |
SIS |
2015-06-09 10:20 |
Nagasaki |
Arkas SASEBO |
Implementation of Bias Free Pre-inverse Active Noise Control with Sub Filter Ryousuke Minagi, Kazushi Otsuki, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) SIS2015-10 |
As an active Noise Control, filtered-x is widely used. Unfortunately, the filtered-x has a modeling error problem by sec... [more] |
SIS2015-10 pp.51-56 |