1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2021★ 1 cited
Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks
Vinod Bajaj, Mathieu Chagnon, Sander Wahls +1
We present a simple, efficient "direct learning" approach to train Volterra series-based digital pre-distortion filters using neural networks. We show its superior performance over…
eess.SP2021
End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj +4
We present a novel end-to-end autoencoder-based learning for coherent optical communications using a "parallelizable" perturbative channel model. We jointly optimized constellation…