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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
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
MI 2015-03-02
09:17
Okinawa Hotel Miyahira 4D-MRI Reconstruction using the low-rank plus sparse matrix decomposition
Yukinojo Kitakami, Takashi Ohnishi, Yoshitada Masuda (Chiba Univ. Engineering), Koji Matsumoto (Chiba University Hospital), Hideaki Haneishi (Chiba Univ. Engineering) MI2014-54
4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows... [more] MI2014-54
pp.7-11
SR, AN, USN, RCS
(Joint)
2012-10-18
16:50
Fukuoka Fukuoka univ. [Invited Talk] Applications of Compressed Sensing in Wireless Communication Systems
Doohwan Lee (Univ. of Tokyo) RCS2012-145 SR2012-65 AN2012-39 USN2012-42
Compressed sensing has been drawn explosive attention during last several years. It is a new framework that uses signal ... [more] RCS2012-145 SR2012-65 AN2012-39 USN2012-42
p.121(RCS), p.179(SR), p.91(AN), p.85(USN)
RCS, AN, MoNA, SR
(Joint)
2010-03-05
15:30
Kanagawa YRP A Heterogeneous Network System with Flexible Access Points and Protocol-free Signal Processing Part -- Part2: Highly Efficient Radio Wave Data Compression Method Employing Compressed Sensing Technology --
Doohwan Lee, Takayuki Yamada, Hiroyuki Shiba, Yo Yamaguchi, Kazuhiro Uehara (NTT Corp.) RCS2009-322 MoMuC2009-95 SR2009-119 AN2009-88
Rapid developments and changes of wireless radio environments require a unified platform which can flexibly deal with va... [more] RCS2009-322 MoMuC2009-95 SR2009-119 AN2009-88
pp.379-384(RCS), pp.129-134(MoMuC), pp.189-194(SR), pp.117-122(AN)
SR 2010-01-21
11:30
Tokyo Univ. of Electro-Communications Combined Nyquist and compressed sampling method for the wireless multiband receiver
Doohwan Lee, Takayuki Yamada, Hiroyuki Shiba, Yo Yamaguchi, Kazuhiro Uehara (NTT) SR2009-77
The recently developed compressed sensing theory enables signal recovery from incomplete information with high probabili... [more] SR2009-77
pp.21-26
 Results 1 - 8 of 8  /   
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