102 citations · 331 across the 58 of their papers we have counts for
9 papers · 1 filter
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
Toshiaki Koike-Akino, Ye Wang, David S. Millar +2
Recently, data-driven approaches motivated by modern deep learning have been applied to optical communications in place of traditional model-based counterparts. The application of…
Adversarial Deep Learning in EEG Biometrics
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino +1
Deep learning methods for person identification based on electroencephalographic (EEG) brain activity encounters the problem of exploiting the temporally correlated structures or r…
Model-Driven Deep Learning Method for Jammer Suppression in Massive Connectivity Systems
Milutin Pajovic, Toshiaki Koike-Akino, Philip V. Orlik
We present a method for separating collided signals from multiple users in the presence of strong and wideband interference/jamming signal. More specifically, we consider a massive…
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
This paper studies a new application of deep learning (DL) for optimizing constellations in two-way relaying with physical-layer network coding (PNC), where deep neural network (DN…
Learning to Modulate for Non-coherent MIMO
Ye Wang, Toshiaki Koike-Akino
The deep learning trend has recently impacted a variety of fields, including communication systems, where various approaches have explored the application of neural networks in pla…
Polar Coding with Chemical Reaction Networks
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
In this paper, we propose a new polar coding scheme with molecular programming, which is capable of highly parallel implementation at a nano-scale without a need of electrical powe…
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery
Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe +1
In conventional point cloud delivery, a sender uses octree-based digital video compression to stream three-dimensional (3D) points and the corresponding color attributes over band-…
Channel Decoding with Quantum Approximate Optimization Algorithm
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Motivated by the recent advancement of quantum processors, we investigate quantum approximate optimization algorithm (QAOA) to employ quasi-maximum-likelihood (ML) decoding of clas…
Parallel-Amplitude Architecture and Subset Ranking for Fast Distribution Matching
Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +2
A distribution matcher (DM) maps a binary input sequence into a block of nonuniformly distributed symbols. To facilitate the implementation of shaped signaling, fast DM solutions w…