| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2024-01-25 10:55 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
Joint Sensing of Wideband Sparse Angular-Frequency Spectrum based on Compressive Sensing
-- Experimental Verification in the 4.8GHz Band -- Azril Haniz, Hirokazu Sawada, Takeshi Matsumura (NICT)  SR2023-70 |
Recent trends have shown that spectrum regulators are opening up more shared spectrum bands for fifth generation mobile ... [more] | SR2023-70 pp.9-16 |
| EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] | 2023-07-20 09:10 |
Hokkaido | Muroran Institute of Technology (Primary: On-site, Secondary: Online) |
Accuracy Verification of Two-dimentional Electromagnetic Scattering Analysis Using Compressive Sensing.
-- Application to Method of Moments -- Kota Saito, Seiya Kishimoto, Shinichiro Ohnuki (Nihon Univ) EMT2023-9 MW2023-27 OPE2023-9 EST2023-9 MWPTHz2023-5 |
As one of the numerical analysis methods for electromagnetic fields, the method of moments requires O(n^3) computational... [more] | EMT2023-9 MW2023-27 OPE2023-9 EST2023-9 MWPTHz2023-5 pp.1-5 |
| RCS, SR, SRW (Joint) |
2023-03-01 17:30 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Low-Complexity Channel Tracking Based on Compressive Sensing for Millimeter-Wave Communications Systems Sota Uchimura, Koji Ishibashi (UEC), Hiroki Iimori, Paulo Klaine, Szabolcs Malomsoky (ERJ) RCS2022-268 |
This paper studies channel tracking for millimeter-wave (mmWave) systems. The conventional method requires tremendous co... [more] | RCS2022-268 pp.124-129 |
| IE | 2023-02-02 16:15 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
When Compressive Light Field Acquisition Meets Deep Learning Keita Takahashi (Nagoya Univ.) IE2022-56 |
The light field is a basic representation for 3-D visual information, and it is usually treated as a set of images taken... [more] | IE2022-56 p.20 |
| SANE | 2022-08-18 16:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Parallelization of compressive sensing SAR imaging on server and embedded GPU systems Masato Gocho (Mitsubishi Electric), Kazunori Ueda (Waseda Univ.) SANE2022-40 |
CS-SAR (compressive sensing synthetic aperture radar) imaging, in which truncated signals are observed and reconstructed... [more] | SANE2022-40 pp.38-43 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 13:25 |
Online | Online | Angular-Frequency Wideband Spectrum Sensing based on Multi-Coset Sampling Azril Haniz, Takeshi Matsumura, Fumihide Kojima (NICT) SR2021-21 |
For future 5G and Beyond 5G (B5G) networks employed in mmWave spectrum that use beamforming with massive MIMO arrays, it... [more] | SR2021-21 pp.9-15 |
| RCS, SR, SRW (Joint) |
2020-03-04 11:15 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Joint Wideband Angular-Frequency Sparse Spectrum Sensing utilizing Compressive Sensing Azril Haniz, Takeshi Matsumura, Fumihide Kojima (NICT) SR2019-116 |
The fifth generation (5G) mobile communications system is expected to provide wireless communications services for a wid... [more] | SR2019-116 pp.17-24 |
| RCS, SR, SRW (Joint) |
2020-03-05 13:55 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
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 |
| SeMI | 2020-01-31 09:25 |
Kagawa | Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System Billy Dawton, Shigemi Ishida, Yuki Hori, Masato Uchino, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-116 |
As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis technique... [more] | SeMI2019-116 pp.69-74 |
|
| 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 |
| WBS, SAT (Joint) |
2019-05-16 09:00 |
Aichi | MEIJO University (Tempaku campus) | Sparse Frequency Diversity Design using ABC in Multiple Frequency Stepped Pulse Radar Takayuki Inaba, Takumi Taniguchi, Manabu Akita (UEC) WBS2019-6 |
Authors have proposed stepped multiple frequency radar modulation. It could achieve both a high range resolution and a l... [more] | WBS2019-6 pp.29-34 |
| SANE, SAT (Joint) |
2019-02-14 10:00 |
Kagoshima | Tanegashima Island | Sparse Frequency-Step Design using Compressive Sensing in Stepped Multiple Frequency Pulse Radar Takayuki Inaba, Manabu Akita (UEC) SANE2018-113 |
In this article, a sparse frequency-step design method using Compressive Sensing (CS) in multiple stepped pulse radar fo... [more] | SANE2018-113 pp.19-24 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2019-01-18 13:55 |
Kyoto | [Invited Talk]
Compressive Acquisition and Display of Light Fields Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) PRMU2018-107 MVE2018-49 |
The notion of light field provides a framework where all the light-rays traveling in 3-D space are described for visual ... [more] | PRMU2018-107 MVE2018-49 p.129 |
|
| IT | 2018-07-20 14:45 |
Nara | Yamato Kaigishitsu | Quantum & Classical Radar Camera for Automotive and Effect of Fog-3
-- Application of Winer expansion to Tatarskii theory -- Osamu Hirota (Tamagawa Univ.) IT2018-26 |
In 40th SITA and IT workshop at March 2018, we have given the theoretical framework to describe communication channel mo... [more] | IT2018-26 pp.79-84 |
| WBS, IT, ISEC | 2018-03-09 15:45 |
Tokyo | Katsusika Campas, Tokyo University of Science | Quantum &Classical Radar Camera for Automotive and Effect of Fog-2
-- Sparse Modeling -- Osamu Hirota (Tamagawa Univ.) IT2017-137 ISEC2017-125 WBS2017-118 |
In 40th SITA, we have reported the theory of dynamic fog which is the most important subject to sensors of self drivin... [more] |
IT2017-137 ISEC2017-125 WBS2017-118 pp.201-206 |
| AP, MW (Joint) |
2017-09-21 13:00 |
Saitama | Saitama University | Visualizing Propagating-Path of Multi-Path Environment Using FDTD Method and Compressive Sensing Tomohiro Komatsu, Naoki Honma (Iwate Univ.) AP2017-88 |
In this paper, we evaluate the accuracy of the propagating-path identification using Finite-Difference Time-Domain (FDTD... [more] | AP2017-88 pp.1-6 |
| AP (2nd) |
2017-06-28 - 2017-06-30 |
Hokkaido | Hokkaido University | [Poster Presentation]
Performance of propagation-path identification using FDTD method and compressive sensing Tomohiro Komatsu, Naoki Honma (Iwate Univ.) |
We have proposed a propagating path identification method using Finite-Difference Time-Domain (FDTD) method and compress... [more] | |
| EMT, IEE-EMT | 2017-06-02 13:00 |
Tokyo | Nihon University | Realtime 3D image reconstruction methods based on compressive sensing with CUDA support Iakov Chernyak, Motoyuki Sato (Tohoku Univ.) EMT2017-3 |
We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array r... [more] | EMT2017-3 pp.19-24 |
| SANE | 2016-11-24 17:30 |
Overseas | National Taipei University of Technology (NTUT) | An Experimental Study of Compressive Sensing for Synthetic Aperture Radar Takehiro Hoshino, Teruyuki Hara, Yuya Yokota, Yu Okada (MELCO) SANE2016-77 |
Compressive sensing has been developed for the past decade to many sensor systems. In this paper, we have described the ... [more] | SANE2016-77 pp.133-137 |
| RCS, AP (Joint) |
2016-11-24 14:20 |
Kyoto | Kyoto International Community House | [Invited Lecture]
Evaluation of Propagating-Path Identification Combining FDTD Method and Compressive Sensing Tomohiro Komatsu, Naoki Honma, Yoshitaka Tsunekawa (Iwate Univ.) AP2016-112 RCS2016-196 |
In this paper, we evaluate the propagating-path identification using FDTD (Finite-Difference Time-Domain) method and com... [more] | AP2016-112 RCS2016-196 pp.29-34 |
[Return to Top Page]