Satoshi Takabe | DeepAI

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Masahito Hayashi
43 publications
Tadashi Wadayama
31 publications
Angeles Vazquez-Castro
6 publications
Koji Hukushima
3 publications
Alexander K. Hartmann
3 publications
Masayuki Imanishi
2 publications
Daisuke Ito
2 publications
Takafumi Nakano
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Kazunori Hayashi
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Takashi Abe
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Yuki Yamauchi
1 publication

∙ 06/28/2023

Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection

Multiple-input multiple-output (MIMO) is a key ingredient of next-genera...

0 Satoshi Takabe, et al. ∙

∙ 02/09/2023

Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection

Massive multiple-input multiple-output (MIMO) is a key technology used i...

0 Satoshi Takabe, et al. ∙

∙ 02/10/2021

Proximal Decoding for LDPC-coded Massive MIMO Channels

We propose a novel optimization-based decoding algorithm for LDPC-coded ...

0 Tadashi Wadayama, et al. ∙

∙ 11/24/2020

Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation

A distributed algorithm for least mean square (LMS) can be used in distr...

0 Tadashi Wadayama, et al. ∙

∙ 10/26/2020

Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent

Deep unfolding is a promising deep-learning technique, whose network arc...

0 Satoshi Takabe, et al. ∙

∙ 04/20/2020

Deep Unfolded Multicast Beamforming

Multicast beamforming is a promising technique for multicast communicati...

0 Satoshi Takabe, et al. ∙

∙ 01/17/2020

Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems

The Landweber algorithm defined on complex/real Hilbert spaces is a grad...

0 Tadashi Wadayama, et al. ∙

∙ 01/15/2020

Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent

Deep unfolding is a promising deep-learning technique in which an iterat...

0 Satoshi Takabe, et al. ∙

∙ 01/10/2020

Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations

A novel method which is called the Chebyshev inertial iteration for acce...

0 Tadashi Wadayama, et al. ∙

∙ 10/23/2019

Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access

Sparsely spread code division multiple access (SCDMA) is a promising non...

0 Satoshi Takabe, et al. ∙

∙ 04/17/2019

Compute-and-forward relaying with LDPC codes over QPSK scheme

In this paper, we study a compute-and-forward (CAF) relaying scheme with...

0 Satoshi Takabe, et al. ∙

∙ 04/16/2019

Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems

Complex-field linear/nonlinear inverse problems are central issues in wi...

0 Satoshi Takabe, et al. ∙

∙ 01/16/2019

Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying

The compute-and-forward (CAF) scheme has attracted great interests due t...

0 Satoshi Takabe, et al. ∙

∙ 01/15/2019

Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes

We present a novel optimization-based decoding algorithm for LDPC codes ...

0 Tadashi Wadayama, et al. ∙

∙ 12/25/2018

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach

The paper presents a deep learning-aided iterative detection algorithm f...

0 Satoshi Takabe, et al. ∙

∙ 07/03/2018

Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying

Compute-and-forward (CAF) relaying is effective to increase bandwidth ef...

0 Satoshi Takabe, et al. ∙

∙ 06/28/2018

Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels

The paper presents a deep learning-aided iterative detection algorithm f...

0 Masayuki Imanishi, et al. ∙

∙ 04/19/2018

Connectivity of Ad Hoc Wireless Networks with Node Faults

Connectivity of wireless sensor networks (WSNs) is a fundamental global ...

0 Satoshi Takabe, et al. ∙

∙ 04/17/2018

Joint Quantizer Optimization based on Neural Quantizer for Sum-Product Decoder

A low-precision analog-to-digital converter (ADC) is required to impleme...

0 Tadashi Wadayama, et al. ∙

∙ 02/07/2018

Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem

The distribution of the computational cost of linear-programming (LP) re...

0 Satoshi Takabe, et al. ∙

∙ 01/19/2018

Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels

Compute-and-forward relaying is effective to increase bandwidth efficien...

0 Satoshi Takabe, et al. ∙

∙ 01/09/2018

k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model

k-connectivity of random graphs is a fundamental property indicating rel...

0 Satoshi Takabe, et al. ∙

∙ 01/06/2018

Trainable ISTA for Sparse Signal Recovery

In this paper, we propose a novel sparse signal recovery algorithm calle...

0 Daisuke Ito, et al. ∙

∙ 12/21/2017

Fault Tolerance of Random Graphs with respect to Connectivity: Phase Transition in Logarithmic Average Degree

The fault tolerance of random graphs with unbounded degrees with respect...

0 Satoshi Takabe, et al. ∙

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