A neural network-based digital pre-distortion technique is presented which compensates for the nonlinearity of an optical coherent transmitter
One and most important of the intrinsic challenges facing the optical fibers communication systems a...
This work presents a novel Digital Predistortion (DPD) scheme based on a NARX network, suitable for ...
Digital nonlinear backpropagation provides a first estimate of the performance gains afforded by non...
High-symbol-rate coherent optical transceivers suffer more from the critical responses of transceive...
We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate optical c...
We consider neural network-based schemes of digital signal processing. It is shown that the use of a...
Based on measurements, we derive a linear and nonlinear pre-distortion tailored to the components of...
We have demonstrated the applicability of neural-network-based systems to the problem of reducing th...
We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-based optica...
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) fo...
Nonlinear activation is a crucial building block of most machine-learning systems. However, unlike i...
Optical communication is the only viable solution to respond to the demand for a high bit rate and l...
Optical orthogonal frequency-division multiplexing (OOFDM) signal is sensitive to nonlinear distorti...
One and most important of the intrinsic challenges facing the optical fibers communication systems a...
This work presents a novel Digital Predistortion (DPD) scheme based on a NARX network, suitable for ...
Digital nonlinear backpropagation provides a first estimate of the performance gains afforded by non...
High-symbol-rate coherent optical transceivers suffer more from the critical responses of transceive...
We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate optical c...
We consider neural network-based schemes of digital signal processing. It is shown that the use of a...
Based on measurements, we derive a linear and nonlinear pre-distortion tailored to the components of...
We have demonstrated the applicability of neural-network-based systems to the problem of reducing th...
We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-based optica...
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) fo...
Nonlinear activation is a crucial building block of most machine-learning systems. However, unlike i...
Optical communication is the only viable solution to respond to the demand for a high bit rate and l...
Optical orthogonal frequency-division multiplexing (OOFDM) signal is sensitive to nonlinear distorti...
One and most important of the intrinsic challenges facing the optical fibers communication systems a...
This work presents a novel Digital Predistortion (DPD) scheme based on a NARX network, suitable for ...
Digital nonlinear backpropagation provides a first estimate of the performance gains afforded by non...
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