42 citations · 67 across the 7 of their papers we have counts for
4 papers · 1 filter
Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems
Sasipim Srivallapanondh, Pedro J. Freire, Ashraful Alam +6
For the first time, multi-task learning is proposed to improve the flexibility of NN-based equalizers in coherent systems. A "single" NN-based equalizer improves Q-factor by up to…
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection
Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler +4
To circumvent the non-parallelizability of recurrent neural network-based equalizers, we propose knowledge distillation to recast the RNN into a parallelizable feedforward structur…
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
Pedro J. Freire, Sasipim Srivallapanondh, Michael Anderson +9
In this work, we demonstrate the offline FPGA realization of both recurrent and feedforward neural network (NN)-based equalizers for nonlinearity compensation in coherent optical t…
Computational Complexity Evaluation of Neural Network Applications in Signal Processing
Pedro Freire, Sasipim Srivallapanondh, Antonio Napoli +2
In this paper, we provide a systematic approach for assessing and comparing the computational complexity of neural network layers in digital signal processing. We provide and link…