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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
SIP, IT, RCS 2021-01-22
14:25
Online Online Accelerating Fixed-point Iteration with Deep Unfolded-Periodical Successive Over Relaxation
Yuan Qi, Wadayama Tadashi, Satoshi Takabe (NiTech) IT2020-106 SIP2020-84 RCS2020-197
 [more] IT2020-106 SIP2020-84 RCS2020-197
pp.241-246
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 2020-08-27
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
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, SR, SRW
(Joint)
2020-03-05
10:30
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
[Invited Lecture] Recent Advance of Deep Unfolding-based Algorithms for Wireless Communications
Satoshi Takabe (NITech) SR2019-125
In this paper, we briefly review recent progress of deep unfolding that is a promising deep learning technique whose net... [more] SR2019-125
pp.71-78
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, 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
IT 2017-07-13
15:45
Chiba Chiba University Phase Transition in Network Connectivity Robustness against Stochastic Node Removal
Satoshi Takabe, Takafumi Nakano, Tadashi Wadayama (NITech) IT2017-25
Recently, a reliability analysis on network connectivity against stochastic node removal is introduced by Nozaki et al. ... [more] IT2017-25
pp.49-54
 Results 1 - 17 of 17  /   
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