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05/16/2023
Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers
To reduce the complexity of the hardware implementation of neural networ...
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12/09/2022
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
In this work, we demonstrate the offline FPGA realization of both recurr...
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12/08/2022
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection
To circumvent the non-parallelizability of recurrent neural network-base...
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08/26/2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
In this paper, a new methodology is proposed that allows for the low-com...
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06/24/2022
Computational Complexity Evaluation of Neural Network Applications in Signal Processing
In this paper, we provide a systematic approach for assessing and compar...
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06/24/2022
Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems
For the first time, recurrent and feedforward neural network-based equal...
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04/05/2022
Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication
Autoencoder-based deep learning is applied to jointly optimize geometric...
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02/25/2022
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems
We introduce the domain adaptation and randomization approach for calibr...
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09/17/2021
Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications
Addressing the neural network-based optical channel equalizers, we quant...
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07/26/2021