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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 132  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, SRW
(Joint)
2020-03-05
13:55
Tokyo Tokyo Institute of Technology Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique
Yasuhiro Takano (Kobe Univ.) RCS2019-367
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] RCS2019-367
pp.239-244
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
IT, SIP, RCS 2020-01-24
14:25
Hiroshima Hiroshima City Youth Center Research trends of compressive channel estimation techniques
Yasuhiro Takano (Kobe Univ.) IT2019-80 SIP2019-93 RCS2019-310
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] IT2019-80 SIP2019-93 RCS2019-310
pp.261-265
AP, RCS
(Joint)
2019-11-22
09:50
Saga Saga Univ. Improving Time-domain Symbol Spread Blind Adaptive Array Interference Suppression by Principal Component Analysis
Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2019-226
We previously proposed a time-domain symbol spreading (TSS) which can expand the operational region of the blind adaptiv... [more] RCS2019-226
pp.129-134
RCS 2019-10-25
16:05
Kanagawa Yokosuka Research Park [Encouragement Talk] Nonlinear Feature Extraction by epsilon -Vanishing Polynomial Networks Learning and Underdetermined BSS
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-202
Similar to the deep architectures, a novel multi-layer architecture is used to extend the linear blind source separation... [more] RCS2019-202
pp.133-138
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
10:25
Okinawa Okinawa Institute of Science and Technology Spatial-Temporal decomposition to resting and task MEG using DMD
Fumiya Nakai (NAIST), Okito Yamashita (ATR) NC2019-13 IBISML2019-11
Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive ... [more] NC2019-13 IBISML2019-11
pp.51-56(NC), pp.73-78(IBISML)
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
16:10
Kagoshima Kagoshima University Detection of Important ICA Basis Based on Mean Square Error in ICA-DCT Hybrid Typed Image Coding
Atsushi Togashi, Masashi Kameda (Iwate Prefectural Univ.) IMQ2018-49 IE2018-133 MVE2018-80
The ICA-DCT hybrid typed image coding method which uses both DCT bases and ICA bases appropriately for each small spatia... [more] IMQ2018-49 IE2018-133 MVE2018-80
pp.153-158
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] An Initialization Method for Multichannel Nonnegative Matrix Factorization using Nonnegative Independent Component Analysis
Takahiro Ushijima, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2018-105 SIP2018-111 SP2018-67
Recently, devices that handle voice have become widely used, and there is a demand for a technique to extract only the t... [more] EA2018-105 SIP2018-111 SP2018-67
pp.37-42
EA, SIP, SP 2019-03-15
11:25
Nagasaki i+Land nagasaki (Nagasaki-shi) [Invited Talk] Realization of real-time blind source separation with auxiliary-function-based algorithms
Nobutaka Ono (TMU) EA2018-133 SIP2018-139 SP2018-95
Blind source separation is a signal processing technique to estimate sound source signals only from the observation of m... [more] EA2018-133 SIP2018-139 SP2018-95
p.203
RCS, SR, SRW
(Joint)
2019-03-06
10:55
Kanagawa YRP Performance Analysis for Nonlinear Separation Model with a Flexible Approximation
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2018-292
The process deals with blind source separation in the nonlinear domain is to estimate the original signals or mixture fu... [more] RCS2018-292
pp.61-66
RCS, SR, SRW
(Joint)
2019-03-06
14:35
Kanagawa YRP [Invited Lecture] Blind Adaptive Array with Time-Domain Symbol Spreading
Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Yu Nakayama (Aoyama Gakuin Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2018-296
This paper proposes a time-domain symbol spreading (TSS) to expand the operational region of the blind adaptive array in... [more] RCS2018-296
pp.77-82
NC, MBE
(Joint)
2019-03-05
15:25
Tokyo University of Electro Communications Construction of a microwave search-and-rescue radar system based on online frequency-domain complex-valued independent component analysis
Takahiro Nakanishi, Akira Hirose (Tokyo Univ.) NC2018-70
Search-and-rescue radar systems are expected to become more powerful and wider applicable in many disasters such as eart... [more] NC2018-70
pp.139-143
EA, ASJ-H 2018-08-23
12:55
Miyagi Tohoku Gakuin Univ. Self-produced speech enhancement and suppression method with wearable air- and body-conductive microphones
Moe Takada, Shogo Seki, Tomoki Toda (Nagoya Univ.) EA2018-29
This paper presents a self-produced speech enhancement and suppression method for multichannel signals recorded with bot... [more] EA2018-29
pp.7-12
CQ 2018-05-31
16:40
Chiba Chiba Univ. Nishi-Chiba Campus, academic link center [Invited Talk] Blind Interference Suppression on Adaptive Arrays: Comparisons and Applications for Spectrum Sharing
Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) CQ2018-22
This paper presents performance comparison of interference suppression on blind adaptive array algorithms. Co-channel in... [more] CQ2018-22
pp.25-30
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
10:00
Okinawa   Experimental Evaluation of Multichannel Audio Source Separation Based on IDLMA
Daichi Kitamura, Hayato Sumino, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari (Univ. of Tokyo), Nobutaka Ono (Tokyo Metropolitan Univ.) EA2017-104 SIP2017-113 SP2017-87
In this paper, we propose a new informed multichannel audio source separation called independent deeply learned matrix a... [more] EA2017-104 SIP2017-113 SP2017-87
pp.13-20
IBISML 2018-03-05
17:25
Fukuoka Nishijin Plaza, Kyushu University Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables
Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] IBISML2017-97
pp.49-53
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
15:15
Hokkaido Hokkaido Univ. Extraction of Efficient ICA Basis in ICA-DCT Hybrid Typed Image Coding based on Rate-Distortion Sense
Togashi Atsushi, Miyazaki Haruhiko, Kameda Masashi (Iwate Pref. Univ.) ITS2017-75 IE2017-107
ICA-DCT hybrid typed image coding method uses both DCT basis and ICA basis which can preserve local features of image. I... [more] ITS2017-75 IE2017-107
pp.83-88
SIP, IT, RCS 2018-01-23
10:00
Kagawa Sunport Hall Takamatsu Evaluation of Eavesdropping Resistance in Secret Information Transmission Scheme Using Signal Decomposition and Spatial Vector Composition
Kazuki Tsuji, Hideichi Sasaoka, Hisato Iwai (Doshisha Univ.) IT2017-85 SIP2017-93 RCS2017-299
As a countermeasure against eavesdropping in mobile communications, secret information transmission scheme using signal ... [more] IT2017-85 SIP2017-93 RCS2017-299
pp.177-182
SIP, IT, RCS 2018-01-23
10:50
Kagawa Sunport Hall Takamatsu A Study on Carrier Frequency Offset between BLE Terminals for ICA based-SDMA in BLE Systems
Masahiro Takigawa, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) IT2017-87 SIP2017-95 RCS2017-301
This paper shows that previously proposed Maximum A-posteriori Probability (MAP) detection based on differential detecto... [more] IT2017-87 SIP2017-95 RCS2017-301
pp.189-194
EA, ASJ-H 2017-12-01
14:20
Overseas University of Auckland (New Zealand) [Invited Talk] Blind Audio Source Separation based on Independent Component Analysis
Shoji Makino (Univ. of Tsukuba) EA2017-78
This talk describes a method for the blind source separation (BSS) of convolutive mixtures of audio signals, especially ... [more] EA2017-78
p.107
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