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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SIP, IT | 2022-01-20 10:30 |
Online | Online | Signature Code Designed by Binarized Neural Networks Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.)  IT2021-34 SIP2021-42 RCS2021-202 |
In multi-user communication systems, user identification and channel estimation scheme depending on signature code are i... [more] | IT2021-34 SIP2021-42 RCS2021-202 pp.34-39 |
| RCS, SIP, IT | 2022-01-21 09:50 |
Online | Online | Studies on Channel Prediction in a Millimeter-Wave Band Based on Multipath Delay and Angle-of-Arrival Estimation Daigo Mochizuki, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) IT2021-63 SIP2021-71 RCS2021-231 |
A multi-user MIMO system can achieve high-capacity communication using downlink channel state information (CSI) for each... [more] | IT2021-63 SIP2021-71 RCS2021-231 pp.195-200 |
| RCS, SIP, IT | 2022-01-21 11:20 |
Online | Online | Deep-Unfolded Sparse Signal Recovery Algorithm using TopK Operator Masanari Mizutani (NITech), Satoshi Takabe (TITech), Tadashi Wadayama (NITech) IT2021-72 SIP2021-80 RCS2021-240 |
Compressed sensing for estimating sparse signals is formulated as an NP-hard problem, where LASSO based on convex relax... [more] | IT2021-72 SIP2021-80 RCS2021-240 pp.245-251 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-02 10:10 |
Online | Online | Design Method of ECG Measurement System Using Compression Sensing Yuki Matsumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2021-34 ICD2021-44 DC2021-40 RECONF2021-42 |
In recent years, there has been an increasing demand for real-time health information, e.g., electrocardiograms, to be p... [more] | VLD2021-34 ICD2021-44 DC2021-40 RECONF2021-42 pp.99-104 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2021-11-25 10:25 |
Online | Online | wganBCS: Block-wise image compressive sensing and reconstruction model using adversarial training to eliminate block effects Boyan Chen (Hosei Univ./NPU), Kaoru Uchida (Hosei Univ.) CS2021-60 IE2021-19 |
The famous block-wise compressive sensing (BCS) paradigm can greatly reduce the memory consumption of sensing matrix co... [more] |
CS2021-60 IE2021-19 pp.1-6 |
| SANE | 2021-11-12 12:30 |
Online | Online | Landmine detection with model-based homogeneity to extend compressed sensing Ryuta Imai, Yicheng Song, Ryo Natsuaki, Akira Hirose (Tokyo Univ.) SANE2021-55 |
This paper proposes model-based homogeneity (MBH) to extend compressed sensing (CS) for landmine-detection ground penetr... [more] | SANE2021-55 pp.124-129 |
| AP, RCS (Joint) |
2021-11-10 16:45 |
Nagasaki | NBC-Bekkan (Nagasaki) (Primary: On-site, Secondary: Online) |
QoS-aware Low-complexity User Pairing Based on Compressed Sensing in Downlink NOMA(2) Tomofumi Makita, Osamu Muta (Kyushu Univ.) RCS2021-155 |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation requires an effective u... [more] | RCS2021-155 pp.63-68 |
| MIKA (3rd) |
2021-10-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Experimental Evaluation of Equipment for Wave Source Estimation Using UAVs Hiromu Takarada, Kentaro Nishimori, Shun Takase (Niigata Univ.), Takahiro Matsuda (Tokyo Metoropolitan Univ.) |
In recent years, the pressure on frequency resources owing to the increase in wireless communication systems has become ... [more] | |
| MIKA (3rd) |
2021-10-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Compressed Sensing Based Power Allocation and User Selection Scheme for Downlink NOMA Tomofumi Makita, Osamu Muta (Kyushu Univ.) |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation require an effective us... [more] | |
| CQ, MIKA (Joint) |
2021-09-09 09:45 |
Online | Online | Compressed Sensing Based Power Allocation and User Selection Scheme Considering Channel State in Downlink NOMA Tomofumi Makita, Osamu Muta (Kyushu Univ.) CQ2021-37 |
In this paper, we propose a quality-of-service (QoS)-aware low complexity compressed sensing (CS)-based user selection a... [more] | CQ2021-37 pp.1-5 |
| IN, NS, CS, NV (Joint) |
2021-09-09 14:30 |
Online | Online | [Invited Lecture]
A Proposal and Implementation of Adaptive Distributed Compressed Sensing with Cooperative Optimization among Edge Devices Masatoshi Sekine, Kengo Okano, Satoshi Ikada (OKI) NS2021-64 |
In recent years, monitoring systems that utilize IoT have become important in monitoring social infrastructure and facto... [more] | NS2021-64 pp.42-47 |
| CQ | 2021-08-02 10:45 |
Online | Online | Experimental Evaluation of a Wave Source Location Estimation Method Using UAVs Hiromu Takarada, Kentaro Nishimori, Shun Takase (Niigata Univ.), Takahiro Matsuda (Tokyo Metoropolitan Univ.) CQ2021-22 |
In recent years, the pressure on frequency resources owing to the increase in wireless communication systems has become ... [more] | CQ2021-22 pp.6-9 |
| CS | 2021-07-16 10:45 |
Online | Online | Compressed Sensing-Based User Selection Scheme with Dynamic Resource Allocation for Downlink NOMA Systemsystems Tomofumi Makita, Osamu Muta (Kyushu Univ.) CS2021-35 |
In this paper, we propose a quality-of-service (QoS)-aware low complexity compressed sensing (CS)-based user selection ... [more] | CS2021-35 pp.82-83 |
| IT | 2021-07-09 14:30 |
Online | Online | Construction of Dimension Reduction Matrix for Signal Recovery of Multivariate Gaussian Vectors Kento Yokoyama, Tadashi Wadayama, Satoshi Takabe (NIT) IT2021-26 |
In compressed sensing, we discuss the problem of estimating the sparse original signal $¥bm{x} ¥in ¥mathbb{R}^n$ from th... [more] | IT2021-26 pp.63-68 |
| RCS | 2021-06-23 09:30 |
Online | Online | Considerations on computational complexity reduction in channel prediction based on multipath separation Daigo Mochizuki, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-29 |
In multi-user MIMO systems, a base station suppresses inter-user-interferences using downlink channel state information ... [more] | RCS2021-29 pp.1-6 |
| RCS | 2021-06-25 09:20 |
Online | Online | QoS-aware Low-complexity User Pairing Based on Compressed Sensing in Downlink NOMA Tomofumi Makita, Osamu Muta (Kyushu Univ.) RCS2021-63 |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation requires an effective u... [more] | RCS2021-63 pp.196-201 |
| RCS | 2021-06-25 13:10 |
Online | Online | Multiple Measurement Vector Approximate Message Passing Without Prior Information of Channels for Grant-Free Non-Orthogonal Multiple Access Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2021-71 |
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] | RCS2021-71 pp.243-248 |
| AP | 2021-04-16 13:00 |
Hyogo | Kinosaki International Arts Center (Primary: On-site, Secondary: Online) |
Position Estimation of Point Source Targets Using Compressed Sensing in THz Imaging Rio Yanagi, Keizo Cho, Hiroaki Nakabayashi, Koji Suizu (CIT) AP2021-4 |
In terahertz (THz) imaging, synthetic aperture array is attractive for reducing measurement time and increasing spatial ... [more] | AP2021-4 pp.17-22 |
| MI | 2021-03-15 14:30 |
Online | Online | Comparison of Deep Learning Reconstruction for MR Compressed Sensing Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-56 |
The theory of compressed sensing (CS) has been introduced to MRI to reduce the scan time. However, CS reconstruction int... [more] | MI2020-56 pp.41-45 |
| MI | 2021-03-15 14:45 |
Online | Online | Real valued CNN based MR image reconstruction Robust to spatial phase variation Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-57 |
MR images have spatial phase distribution due to the inhomogeneities of static magnetic field strength and the differenc... [more] | MI2020-57 pp.46-50 |
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