102 citations · 135 across the 17 of their papers we have counts for
4 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…
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…
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…