In this paper, we investigate the use of the learned digital back-propag...
In this work, we demonstrate the offline FPGA realization of both recurr...
To circumvent the non-parallelizability of recurrent neural network-base...
In this paper, a new methodology is proposed that allows for the
low-com...
For the first time, recurrent and feedforward neural network-based equal...
Digital back-propagation (DBP) and learned DBP (LDBP) are proposed for
n...
We introduce the domain adaptation and randomization approach for calibr...
Addressing the neural network-based optical channel equalizers, we quant...