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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 14:30 |
Online |
Online |
Considerations on Accuracy Improvement in Close DOA Estimation with Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.), Yoshihisa Kishiyama (NTT DOCOMO) RCC2021-39 NS2021-55 RCS2021-97 SR2021-39 SeMI2021-28 |
In addition to subspace methods such as MUSIC and ESPRIT, recently,
compressed sensing and deep learning have been appl... [more] |
RCC2021-39 NS2021-55 RCS2021-97 SR2021-39 SeMI2021-28 pp.77-82(RCC), pp.118-123(NS), pp.98-103(RCS), pp.100-105(SR), pp.76-81(SeMI) |
SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-09 13:25 |
Online |
Online |
Considerations on Accuracy Improvement in DOA Estimation Using Deep Learning Yuya Kase, Takanori Sato, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Daisuke Kitayama, Yoshihisa Kishiyama (NTT DOCOMO) RCC2020-5 NS2020-34 RCS2020-68 SR2020-13 SeMI2020-5 |
Direction of arrival (DOA) estimation of radio waves using a various types of array antennas are generally classified in... [more] |
RCC2020-5 NS2020-34 RCS2020-68 SR2020-13 SeMI2020-5 pp.19-24(RCC), pp.19-24(NS), pp.61-66(RCS), pp.25-30(SR), pp.13-18(SeMI) |
SSS |
2019-09-24 15:15 |
Tokyo |
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A Proposal of Detection Method of Adversalial Examples based on Frequency Domain Yuya Kase, Masaomi Kimura (SIT) SSS2019-20 |
We propose a detection method of special data Adversarial Examples that cause misclassification of neural networks. Adve... [more] |
SSS2019-20 pp.13-16 |
SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 13:55 |
Osaka |
I-Site Nanba(Osaka) |
A Study on Close DOA Estimation with Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Daisuke Kitayama, Yoshihisa Kishiyama (NTT DOCOMO) RCC2019-39 NS2019-75 RCS2019-132 SR2019-51 SeMI2019-48 |
Direction of arrival (DOA) estimation of radio waves is applicable to localization of users in mobile communication and ... [more] |
RCC2019-39 NS2019-75 RCS2019-132 SR2019-51 SeMI2019-48 pp.133-138(RCC), pp.159-164(NS), pp.155-160(RCS), pp.165-170(SR), pp.147-152(SeMI) |
RCS |
2019-04-19 11:20 |
Hokkaido |
Noboribetsu Grand Hotel |
A Study on DOA Estimation Using Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Daisuke Kitayama, Yoshihisa Kishiyama (NTT DOCOMO) RCS2019-17 |
Direction of arrival (DOA) estimation of radio waves is applicable to
localization of users in mobile communication and... [more] |
RCS2019-17 pp.79-84 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-11 15:25 |
Hokkaido |
Hakodate Arena |
A Fundamental Study on Direction of Arrival Estimation with Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) RCC2018-33 NS2018-46 RCS2018-88 SR2018-27 ASN2018-27 |
Direction of arrival (DOA) estimation of radio waves is applicable to localization of wireless terminals and radar syste... [more] |
RCC2018-33 NS2018-46 RCS2018-88 SR2018-27 ASN2018-27 pp.51-55(RCC), pp.57-61(NS), pp.51-55(RCS), pp.39-43(SR), pp.67-71(ASN) |
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