Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Satoshi TAKABE"'
Autor:
Yuya Kawamura, Satoshi Takabe
Publikováno v:
IEEE Access, Vol 12, Pp 177911-177918 (2024)
Stein variational gradient descent (SVGD) is a prominent particle-based variational inference method used for sampling a target distribution. In this paper, we propose two novel trainable algorithms based on SVGD: deep-unfolded SVGD (DUSVGD) and Cheb
Externí odkaz:
https://doaj.org/article/67c2c906e3ec407ca2a1a065b1024b61
Publikováno v:
IEEE Access, Vol 9, Pp 40027-40038 (2021)
Sparse code division multiple access (SCDMA) is a promising non-orthogonal multiple access technique for future wireless communications. In SCDMA, transmitted symbols from multiple users are coded by their own sparse signature sequences, and a base s
Externí odkaz:
https://doaj.org/article/143651b8898f4f1493ba91ac87c450c9
Publikováno v:
IEEE Access, Vol 7, Pp 93326-93338 (2019)
This paper presents a deep learning-aided iterative detection algorithm for massive overloaded multiple-input multiple-output (MIMO) systems where the number of transmit antennas $n$ is larger than that of receive antennas $m$ . Since the proposed al
Externí odkaz:
https://doaj.org/article/099f2399a7eb4e62bb15930f99b2f59a
Autor:
Tadashi WADAYAMA, Satoshi TAKABE
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. (No. 3):359-367
Autor:
Tadashi Wadayama, Satoshi Takabe
Publikováno v:
IEEE Signal Processing Letters. 28:907-911
A novel method, termed Chebyshev periodical successive over-relaxation (PSOR), for accelerating the convergence speed of fixed-point iterations is presented. Chebyshev PSOR can be regarded as a variant of successive over-relaxation utilizing the inve
Autor:
Tadashi Wadayama, Satoshi Takabe
Publikováno v:
2022 IEEE International Symposium on Information Theory (ISIT).
Autor:
Satoshi Takabe, Tadashi Wadayama
Publikováno v:
IEICE ESS Fundamentals Review. 14:60-72
Publikováno v:
IEEE Transactions on Communications. 68:4063-4072
Compute-and-forward (CAF) relaying is an effective way to increase bandwidth efficiency of wireless two-way relay channels. Design of error-correcting codes and their decoding algorithms suitable for CAF relaying schemes remains an important issue to
Autor:
Satoshi Takabe, Tadashi Wadayama
Publikováno v:
ISIT
We propose a novel optimization-based decoding algorithm for LDPC-coded massive MIMO channels. The proposed decoding algorithm is based on a proximal gradient method for solving an approximate maximum a posteriori (MAP) decoding problem. The key idea