Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Consideration of Data Smoothing and Weight Orthogonalization in Blind Signal Separation Using Kurtosis Maximization Algorithm Shogo Osakabe, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto (NITech) |
With the recent rapid evolution in wireless communications, the demand for high-quality, low-latency transmission and th... [more] |
|
IT, RCS, SIP |
2023-01-25 11:55 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
A Study on Evaluation of Non-Gaussianity in Two-Stage ICA-Aided Blind Signal Separation Taisuke Nogami, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2022-55 SIP2022-106 RCS2022-234 |
In the Internet of Things (IoT) communications, which will play an important role in the next-generation wireless commun... [more] |
IT2022-55 SIP2022-106 RCS2022-234 pp.148-153 |
RCS, SIP, IT |
2022-01-21 11:45 |
Online |
Online |
Simultaneous matrix diagonalization using alternating least-squares algorithm Shinya Saito, Kunio Oishi (Tokyo University of Tech.) IT2021-73 SIP2021-81 RCS2021-241 |
This paper presents an approach for overdetermined blind source separation (BSS) using AJD. The approach is constructed ... [more] |
IT2021-73 SIP2021-81 RCS2021-241 pp.252-257 |
IT, SIP, RCS |
2020-01-23 09:50 |
Hiroshima |
Hiroshima City Youth Center |
A Study on Channel Estimation by Using Independent Component Analysis in Large-scale MIMO Systems Taichi Kasai, Shinsuke Ibi, Hisato Iwai, Hideichi Sasaoka (Doshisha Univ.) IT2019-37 SIP2019-50 RCS2019-267 |
As the demand for wireless communication technology increases, efficient frequency usage is required. In the case of lar... [more] |
IT2019-37 SIP2019-50 RCS2019-267 pp.7-11 |
SIS, ITE-BCT |
2018-10-25 10:00 |
Kyoto |
Kyoto University Clock Tower Centennial Hall |
Accuracy Analysis of Background Noise Estimation Using Outer Product Expansion with Lower Norm Kouta Sugiura, Akitoshi Itai (Chubu Univ.) SIS2018-10 |
In this paper, the background noise estimation using outer product expansion is developed.
We have shown that a possib... [more] |
SIS2018-10 pp.1-5 |
SP, SIP, EA |
2017-03-01 15:15 |
Okinawa |
Okinawa Industry Support Center |
Study on a Reduction of Calculated Amount in a Time-Domain Blind Source Separation Tsubasa Inoue (NIT) EA2016-112 SIP2016-167 SP2016-107 |
This paper describes the method for separating the voices using a time-domain Blind Source Separation (BSS) algorithm. E... [more] |
EA2016-112 SIP2016-167 SP2016-107 pp.171-176 |
EA, SP, SIP |
2016-03-28 13:15 |
Oita |
Beppu International Convention Center B-ConPlaza |
[Poster Presentation]
Convolutive Blind Source Separation with multi-stage Approximate Joint Diagonalization Toshiki Mori, Shinya Saito (TUS), Kunio Oishi (Tokyo Univ. of Tech.), Tosihiro Furukawa (TUS) EA2015-76 SIP2015-125 SP2015-104 |
In this paper, we present an approach of recovering signal waveforms of speech sources from observed signals in noisy
a... [more] |
EA2015-76 SIP2015-125 SP2015-104 pp.57-62 |
AP (2nd) |
2014-01-10 09:20 |
Overseas |
Le Quy Don Technical University (Hanoi, Vietnam) |
A Consideration of FastICA Algorithm Using Spatial Smoothing Preprocessing for Separation of Coherent Signals Tomomi Imai, Nobuyoshi Kikuma, Hiroshi Hirayama, Kunio Sakakibara (NIT) |
Blind signal separation techniques bring many advantages in radio monitoring systems using array antennas. Among them, I... [more] |
|
NLP |
2013-03-14 10:45 |
Chiba |
Nishi-Chiba campus, Chiba Univ. |
The influence of distribution error on blind signal separation method using PSO Masanori Kimoto, Syoya Tomita, Kenya Jin'no (Nippon Inst. of Tech.) NLP2012-147 |
Blind signal separation (BSS) is a technique for reconstructing each channel's source signal using only the observed mix... [more] |
NLP2012-147 pp.19-23 |
EA |
2012-03-16 15:30 |
Tokyo |
Central Research Laboratory, Hitachi, Ltd. |
Improvement of the element selection scheme for FDICA Kenji Fujita, Kota Takahashi (UEC) EA2011-127 |
ICA attracts attention as a solution of BSS. However, it is very difficult to get a good separation performance in real ... [more] |
EA2011-127 pp.43-48 |
MBE, NC (Joint) |
2011-11-24 10:50 |
Miyagi |
ECEI Departments, Graduate School of Engineering, Tohoku University |
Estimation of fetal vector electrocardiography through blind source separation Yuji Nabeshima, Yoshitaka Kimura, Takuya Ito, Naoaki Satou, Akihiro Karashima, Norihiro Katayama, Mitsuyuki Nakao (Tohoku Univ.) MBE2011-59 |
Electrocardiograph (ECG) could be modeled as a rotating vector (heartvector) representing spatio-temporal electrical act... [more] |
MBE2011-59 pp.13-17 |
EA |
2011-03-18 10:30 |
Aichi |
Nagoya Univ. |
Blind Source Separation for Acoustic Echo Cancelation during Double-Talk Kana Akahori (UEC), Yoshihiro Sakai (Tsuyama NCT), Muhammad Tahir Akhtar, Wataru Mitsuhashi (UEC) EA2010-127 |
An acoustic echo canceler (AEC) has been used to remove acoustic echoes generated in hands-free telecommunications. The ... [more] |
EA2010-127 pp.7-12 |
EA |
2010-07-16 13:30 |
Tokyo |
RION Co., Ltd. |
Frequency-domain blind source separation with the least-squares joint diagonalization problem and its evaluation Shinya Saito (Chiba Inst. of Tech.), Kunio Oishi (Tokyo Univ. of Tech.), Hajime Kubota (Chiba Inst. of Tech.) EA2010-39 |
This paper presents a frequency-domain backward-model blind source separation (BSS) for solving the least-squares joint ... [more] |
EA2010-39 pp.7-12 |
SIP, CAS, CS |
2010-03-01 14:50 |
Okinawa |
Hotel Breeze Bay Marina, Miyakojima |
New Constraint for Blind Extraction Shunsuke Takeuchi, Kiyotoshi Matsuoka (Kyushu Inst. of Tech.) CAS2009-100 SIP2009-145 CS2009-95 |
This paper proposes a new algorithm for BSE. The method determines the extractor so that certain linear and nonlinear cr... [more] |
CAS2009-100 SIP2009-145 CS2009-95 pp.131-136 |
RCS, AP (Joint) |
2009-11-27 14:55 |
Tokyo |
Tokyo Inst. of Tech. |
Acceleration of ICA by FPGA-based hardware Shunsuke Fujio, Hidehisa Shiomi, Yasuyuki Okamura (Osaka Univ.) AP2009-139 |
The ICA (Independent Component Analysis) is one of the blind estimation technologies. The MIMO (Multiple-input Multiple-... [more] |
AP2009-139 pp.119-122 |
EMCJ |
2009-09-04 10:25 |
Kyoto |
KEIHANNA PLAZA |
A trial of blind source separation in radio communication Takaaki Ishibashi, Eiji Nishiyama, Toyonori Matsuda (Kumamoto National Coll. of Tech.), Hiromu Gotanda (Kinki Univ.) EMCJ2009-38 |
The blind source separation has been researched and has been yielded practical applications in the field of the acoustic... [more] |
EMCJ2009-38 pp.19-22 |
SIS |
2009-03-06 10:30 |
Tokyo |
|
A Method of Blind Source Separation for Mixed Voice Separation in Noisy and Reverberating Environment
-- Introduction of Genetic Algorithm -- Masato Katou, Kaoru Arakawa (Meiji Univ.) |
Various methods have been proposed for blind source separation, but additive noise and reverberation must be considered ... [more] |
SIS2008-81 pp.55-59 |
AP, RCS (Joint) |
2008-11-19 16:40 |
Ishikawa |
Kanazawa Institute of Technology |
Characteristics of Blind Signal Separation for Wireless Mixture using Hidehisa Shiomi, Yasuyuki Okamura (Osaka Univ.) AP2008-119 |
This report presents the characteristics of a blind signal separation for qpsk random mixture using
independent compon... [more] |
AP2008-119 pp.47-50 |
SIP, WBS |
2008-07-24 13:50 |
Hiroshima |
Hiroshima Univ. |
Measurement of similarity between random variables and its application to blind signal separation Takahiro Murakami (TUAT/JSPS), Toshihisa Tanaka (TUAT), Yoshihisa Ishida (Meiji Univ.) SIP2008-70 WBS2008-8 |
A method for measuring similarity between two random variables is presented. Our approach considers the case where avail... [more] |
SIP2008-70 WBS2008-8 pp.13-18 |
AP |
2008-04-17 13:00 |
Osaka |
Osaka Electro-Communication University |
Direct Estimation of Weight Vectors using Independent Component Analysis for MIMO Receiver Hidehisa Shiomi, Yasuyuki Okamura (Osaka Univ.) AP2008-4 |
The error of channel measurement for a MIMO communication is one of the factors to debase the communication capacity. I... [more] |
AP2008-4 pp.19-22 |