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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| MI | 2021-03-15 15:00 |
Online | Online | A study on combination of parallel imaging and compressed sensing for improving the acceleration rate of MRI using Bloch simulator Akihide Kanetaka, Yuta Endo, Haruna Shibou, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) MI2020-58 |
Parallel imaging (PI) and compressed sensing (CS) were developed as high-speed MRI technologies, and further studies to ... [more] | MI2020-58 pp.51-55 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 16:45 |
Online | Online | Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA Wataru Okumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2020-52 CPSY2020-35 RECONF2020-71 |
Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocul... [more] | VLD2020-52 CPSY2020-35 RECONF2020-71 pp.75-79 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 17:10 |
Online | Online | Low Power EEG Measurement Using Compressed Sensing Consideration of the Sampling Interval Yuki Okabe, Daisuke Kanemoto (Osaka Univ.), Tomoya Mochizuki (Yamanashi Univ.), Osamu Maida, Tetsuya Hirose (Osaka Univ.) VLD2020-53 CPSY2020-36 RECONF2020-72 |
In recent years, wireless EEG measurement devices that cause less discomfort to the subject have attracted much attentio... [more] | VLD2020-53 CPSY2020-36 RECONF2020-72 pp.80-84 |
| SIP, IT, RCS | 2021-01-21 14:40 |
Online | Online | [Invited Talk]
Message passing algorithms for nonconvex penalties Ayaka Sakata (ISM) IT2020-79 SIP2020-57 RCS2020-170 |
We consider compressed sensing formulated as a minimization problem of nonconvex sparse penalties, Smoothly Clipped Abso... [more] | IT2020-79 SIP2020-57 RCS2020-170 pp.93-98 |
| SIP, IT, RCS | 2021-01-22 14:25 |
Online | Online | Cascaded Channel Estimation for Wireless Communications using Intelligent Reflecting Surface Takahiro Ohyama (PSNRD), Yuichi Kawamoto, Nei Kato (Tohoku Univ.) IT2020-95 SIP2020-73 RCS2020-186 |
The high frequency band used for 5th generation (5G) mobile communication system has a high straightness, and the commun... [more] | IT2020-95 SIP2020-73 RCS2020-186 pp.176-181 |
| NS, RCS (Joint) |
2020-12-17 11:00 |
Online | Online | [Encouragement Talk]
Massive Grant-Free Non-Orthogonal Multiple Access Utilizing Time and Frequency Spreading Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2020-134 |
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] | RCS2020-134 pp.1-6 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-18 09:30 |
Online | Online | Study on Design Guidelines for Low Power Capsule Endoscope System Using Compressed Sensing Yuuki Harada, Daisuke Kanemoto (Osaka Univ.), Makoto Ohki (Yamanashi Univ.), Osamu Maida, Tetsuya Hirose (Osaka Univ.) VLD2020-27 ICD2020-47 DC2020-47 RECONF2020-46 |
Recently, a capsule endoscopy has attracted a lot of attention as a minimally invasive method of gastrointestinal examin... [more] | VLD2020-27 ICD2020-47 DC2020-47 RECONF2020-46 pp.95-100 |
| SIP | 2020-08-27 13:30 |
Online | Online | [Invited Talk]
Recent Advance of Deep-Unfolded Algorithms for Signal Processing and Wireless Communications Satoshi Takabe (NITech) SIP2020-30 |
In this talk, I will briefly review recent progress of deep unfolding as a promising deep learning technique. A network ... [more] | SIP2020-30 p.11 |
| SAT, RCS (Joint) |
2020-08-20 13:25 |
Online | Online | [Invited Lecture]
UAV-based Wireless Surveillance System enabled by High Resolution Video Transmission Tao Yu, Shunya Imada, Kiyomichi Araki, Kei Sakaguchi (Tokyo Tech) SAT2020-14 RCS2020-78 |
Unmanned aerial vehicles (UAVs) are attracting great interests and popularities among academia, industry, business as we... [more] | SAT2020-14 RCS2020-78 pp.25-30(SAT), pp.1-6(RCS) |
| IT | 2020-07-16 11:20 |
Online | Online | User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.), Jun Cheng (Doshisha Univ.) IT2020-12 |
The user identification scheme for multiple-access fading channel based on the random generated (0,1,-1)-signature code ... [more] | IT2020-12 pp.7-12 |
| IT | 2020-07-16 14:20 |
Online | Online | A Study on Trainable ISTA using Auto Encoder as Shrinkage Function for Image Recovery Kento Yokoyama, Satoshi Takabe, Tadashi Wadayama (NIT) IT2020-13 |
ISTA (Iterative Shrinkage-Thresholding Algorithm) is one of the basic algorithms used in compressed sensing to estimate ... [more] | IT2020-13 pp.13-18 |
| RCS, SR, SRW (Joint) |
2020-03-04 10:55 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Transmission Efficiency of Uplink Grant-Free Non-Orthogonal Multiple Access Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2019-325 |
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] | RCS2019-325 pp.31-36 |
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