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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 29  /  [Next]  
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
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