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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP 2024-03-15
15:00
Fukui UNIVERSITY OF FUKUI
(Primary: On-site, Secondary: Online)
Coaxial-Mode Analysis of Radio Propagation Utilizing Hollow Cylindrical Concrete Structures in Seawater
Jialu Wang, Qiang Chen (Tohoku Univ.), Nozomu Ishii (Niigata Univ.), Qiaowei Yuan (Tohoku Inst. Tech.), Masaharu Takahashi (Chiba Univ.) AP2023-219
Underwater radio communications leverage the coaxial structure formed by the hollow cylindrical concrete foundation of o... [more] AP2023-219
pp.102-104
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
10:55
Online Online Fetal Heart Rate Detection via Maternal ECG Cancellation by Neural-Network Autoencoder
Abuzar Ahmad Qureshi, Lu Wang, Tomoaki Ohtsuki (Keio Univ.), Kazunari Owada, Hayato Hayashi (Atom Medical Co.) NLP2021-123 MICT2021-98 MBE2021-84
Fetal heart rate (HR) monitoring is necessary for accessing the state of the fetus during pregnancy and labor. Non-invas... [more] NLP2021-123 MICT2021-98 MBE2021-84
pp.243-247
RCS 2021-06-23
13:50
Online Online Denoising-aided Channel Estimation and DNN-based Joint Beamforming and Phase Shift Design in IRS-aided MISO System
Siyuan Yang, Lu Wang, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) RCS2021-41
 [more] RCS2021-41
pp.75-80
MICT, MI 2020-11-04
14:40
Online Online Sparse Representation-based Online Recursive ICA Used for Motor Imagery Recording
Xueyi Lin, Lu Wang, Tomoaki Ohtsuki (Keio Univ.) MICT2020-16 MI2020-42
 [more] MICT2020-16 MI2020-42
pp.42-47
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Invited Lecture] Underdetermined BSS Learning Using epsilon-Vanishing Polynomial Networks
Lu Wang, Tomoaki Ohtsuki (Keio Univ.)
 [more]
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
RCS 2019-04-19
10:55
Hokkaido Noboribetsu Grand Hotel Blind Source Separation in Nonlinear Mixture: Separation and a Multi-Subspace Representation
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-16
The process deals with blind source separation in the nonlinear domain is to estimate the original signals or mixture fu... [more] RCS2019-16
pp.73-78
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
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Modeling and Performance Analysis of Blind Source Separation with Nonlinear Mixing
Wang Lu, Tomoaki Ohtsuki (Keio Univ.) EA2017-132 SIP2017-141 SP2017-115
 [more] EA2017-132 SIP2017-141 SP2017-115
pp.169-174
SIP, IT, RCS 2018-01-23
11:20
Kagawa Sunport Hall Takamatsu Nonlinear approximation using for audio source separation
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) IT2017-96 SIP2017-104 RCS2017-310
 [more] IT2017-96 SIP2017-104 RCS2017-310
pp.243-248
 Results 1 - 10 of 10  /   
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