Computational complexity evaluation of neural network applications in signal processing
P Freire, S Srivallapanondh, A Napoli… - ar** for short reach optical communication: A comparison of deep neural networks and volterra series
In optical fiber communication, optical and electrical components introduce nonlinearities,
which require effective compensation to attain highest data rates. In particular, in short reach …
which require effective compensation to attain highest data rates. In particular, in short reach …
Transfer learning for neural networks-based equalizers in coherent optical systems
In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
Convolutional neural network-aided DP-64 QAM coherent optical communication systems
Optical nonlinearity impairments have been a major obstacle for high-speed, long-haul and
large-capacity optical transmission. In this paper, we propose a novel convolutional neural …
large-capacity optical transmission. In this paper, we propose a novel convolutional neural …
Recurrent neural network soft-demap** for nonlinear ISI in 800Gbit/s DWDM coherent optical transmissions
High speed optical transmission systems suffer from intersymbol interference (ISI) and
colored noise induced by nonlinear bandwidth limited optical and electrical components. As …
colored noise induced by nonlinear bandwidth limited optical and electrical components. As …