9 citations · 30 across the 14 of their papers we have counts for
5 papers · 1 filter
Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access
Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
Sparsely spread code division multiple access (SCDMA) is a promising non-orthogonal multiple access technique for future wireless communications. In this paper, we propose a novel…
Compute-and-forward relaying with LDPC codes over QPSK scheme
Satoshi Takabe, Tadashi Wadayama, Ángeles Vazquez-Castro +1
In this paper, we study a compute-and-forward (CAF) relaying scheme with low-density parity-check (LDPC) codes, a special case of physical layer network coding, under the quadratur…
Complex Trainable ISTA for Linear and Nonlinear Inverse Problems
Satoshi Takabe, Tadashi Wadayama, Yonina C. Eldar
Complex-field signal recovery problems from noisy linear/nonlinear measurements appear in many areas of signal processing and wireless communications. In this paper, we propose a t…
Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
The compute-and-forward (CAF) scheme has attracted great interests due to its high band-width efficiency on two-way relay channels. In the CAF scheme, a relay attempts to decode a…
Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes
Tadashi Wadayama, Satoshi Takabe
We present a novel optimization-based decoding algorithm for LDPC codes that is suitable for hardware architectures specialized to feed-forward neural networks. The algorithm is ba…