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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-13 16:00 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Precoder Design for Over-the-Air Computation in Correlated Data Aggregation on Wireless Sensor Networks Ayano Nakai-Kasai, Tadashi Wadayama (NITech)  RCS2022-75 |
[more] | RCS2022-75 pp.38-43 |
| IT, EMM | 2022-05-18 13:05 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
Ordinary Differential Equation and Mean Squared Error Analysis for MMSE Signal Detection in MIMO Systems Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2022-12 EMM2022-12 |
(To be available after the conference date) [more] | IT2022-12 EMM2022-12 pp.61-66 |
| IT, ISEC, RCC, WBS | 2022-03-11 12:00 |
Online | Online | A study of distributed MIMO signal detection based on deep unfolding Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2021-113 ISEC2021-78 WBS2021-81 RCC2021-88 |
This paper proposes distributed MIMO (Multiple-Input Multiple-Output) signal detection algorithms based on DU (deep un... [more] |
IT2021-113 ISEC2021-78 WBS2021-81 RCC2021-88 pp.174-179 |
| RCS, SIP, IT | 2022-01-20 11:45 |
Online | Online | Noisy average consensus as Gaussian MAC channels Tadashi Wadayama (Nitech) IT2021-37 SIP2021-45 RCS2021-205 |
[more] | IT2021-37 SIP2021-45 RCS2021-205 pp.51-56 |
| 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 |
| IT | 2021-07-09 13:50 |
Online | Online | Projected gradient MIMO signal detection using Chebyshev step Asahi Mizukoshi, Tadashi Wadayama, Satoshi Takabe (NITech) IT2021-25 |
This paper proposes a projected gradient detection method using the Chebyshev steps for a signal detector in a MIMO (Mul... [more] | IT2021-25 pp.57-62 |
| 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 |
| EMM, IT | 2021-05-21 10:40 |
Online | Online | Proximal Decoding for LDPC-coded Massive MIMO Channels Tadashi Wadayama, Satoshi Takabea (Nitech) IT2021-9 EMM2021-9 |
[more] | IT2021-9 EMM2021-9 pp.48-53 |
| IT | 2020-09-04 10:05 |
Online | Online | A Study on Complex-valued Sparse CDMA Detection Using Deep Learning Technique Yuki Yamauchi, Satoshi Takabe, Tadashi Wadayama (NITech) IT2020-20 |
[more] | IT2020-20 pp.13-18 |
| IT | 2020-09-04 10:45 |
Online | Online | Chebyshev Periodical SOR Methods for Accelerating Fixed-Point Iterations Tadashi Wadayama, Satoshi Takabe (NiTech) IT2020-21 |
[more] | IT2020-21 pp.19-24 |
| SIP | 2020-08-28 10:55 |
Online | Online | Theoretical Analysis on Convergence Acceleration of Deep-Unfolded Gradient Descent Satoshi Takabe, Tadashi Wadayama (NITech) SIP2020-35 |
Deep unfolding is a promising deep learning technique whose network architecture is based on existing iterative algorith... [more] | SIP2020-35 pp.25-30 |
| 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 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 13:50 |
Online | Online | Deep Unfolded Multicast Beamforming for Massive MIMO Satoshi Takabe, Tadashi Wadayama (NITech) RCS2020-64 |
Multicast beamforming is a promising technique for multicast communications to design a beamforming vector based on chan... [more] | RCS2020-64 pp.37-42 |
| RCS, SAT (Joint) |
2019-08-22 15:55 |
Aichi | Nagoya University | [Invited Talk]
Deep Learning-Aided Wireless Communications
-- Overview and Prospects -- Tadashi Wadayama (NiTech) SAT2019-29 RCS2019-158 |
[more] | SAT2019-29 RCS2019-158 pp.61-66 |
| IT | 2019-07-26 10:55 |
Tokyo | NATULUCK-Iidabashi-Higashiguchi Ekimaeten | Complex-field TISTA for Nonlinear Inverse Problems Satoshi Takabe, Tadashi Wadayama (NITech) IT2019-23 |
[more] | IT2019-23 pp.43-48 |
| RCS, SIP, IT | 2019-01-31 12:30 |
Osaka | Osaka University | Trainable ISTA
-- Deep learning-based iterative algorithm for sparse signal recovery -- Satoshi Takabe, Tadashi Wadayama (NITech) IT2018-45 SIP2018-75 RCS2018-252 |
(To be available after the conference date) [more] | IT2018-45 SIP2018-75 RCS2018-252 pp.61-66 |
| IT | 2018-07-19 16:55 |
Nara | Yamato Kaigishitsu | [Invited Talk]
Deep Learning-Aided Signal Processing and Digital Communication Algorithms
-- Overview and Prospect of Future -- Tadashi Wadayama (NITech) IT2018-19 |
[more] | IT2018-19 pp.37-44 |
| IT, EMM | 2018-05-17 14:00 |
Tokyo | Ookayama Campus, Tokyo Institute of Technology | Asymptotic Analysis of Spatially-Coupled LDPC Codes for Two-Way Relay Channels Satoshi Takabe, Tadashi Wadayama (NITech), Masahito Hayashi (Nagoya Univ.) IT2018-1 EMM2018-1 |
Compute-and-forward relaying (CAF) is effective to increase bandwidth efficiency of wireless two-way relay channels. In ... [more] | IT2018-1 EMM2018-1 pp.1-6 |
| WBS, IT, ISEC | 2018-03-09 11:40 |
Tokyo | Katsusika Campas, Tokyo University of Science | Asymptotic Analysis of LDPC Codes for Two-Way Relay Channels Yuta Ishimatsu, Satoshi Takabe, Tadashi Wadayama (NITech), Masahito Hayashi (Nagoya Univ.) IT2017-131 ISEC2017-119 WBS2017-112 |
Compute-and-forward relaying is a relaying scheme to improve bandwidth efficiency of wireless two-way relay channels. R... [more] |
IT2017-131 ISEC2017-119 WBS2017-112 pp.167-172 |
| SIP, IT, RCS | 2018-01-23 11:45 |
Kagawa | Sunport Hall Takamatsu | Achievable rate of two-dimensional constrained codes based on fixed-length column encoding Kazuya Hirata, Tadashi Wadayama (NITech) IT2017-93 SIP2017-101 RCS2017-307 |
In this paper, we construct two-dimensional constraint codes based on fixed-length column by column coding and derive a... [more] |
IT2017-93 SIP2017-101 RCS2017-307 pp.225-230 |
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