Combining nonlinear Fourier transform and neural network-based processing in optical communications
We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-
based optical transmission system by applying the neural network post-processing of the …
based optical transmission system by applying the neural network post-processing of the …
Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives
Fiber-optic communication systems are nowadays facing serious challenges due to the fast
growing demand on capacity from various new applications and services. It is now well …
growing demand on capacity from various new applications and services. It is now well …
Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems
We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
Alternative decoding methods for optical communications based on nonlinear Fourier transform
Long-haul optical communications based on nonlinear Fourier Transform have gained
attention recently as a new communication strategy that inherently embrace the nonlinear …
attention recently as a new communication strategy that inherently embrace the nonlinear …
Dual-polarization nonlinear Fourier transform-based optical communication system
New services and applications are causing an exponential increase in Internet traffic. In a
few years, the current fiber optic communication system infrastructure will not be able to …
few years, the current fiber optic communication system infrastructure will not be able to …
End-to-end optimization of coherent optical communications over the split-step Fourier method guided by the nonlinear Fourier transform theory
Optimizing modulation and detection strategies for a given channel is critical to maximizing
the throughput of a communication system. Such an optimization can be easily carried out …
the throughput of a communication system. Such an optimization can be easily carried out …
Experimental demonstration of nonlinear frequency division multiplexing transmission with neural network receiver
Nonlinear frequency division multiplexing (NFDM) communication systems that are based
on the nonlinear Fourier transform (NFT), have seen a rapid improvement in performance …
on the nonlinear Fourier transform (NFT), have seen a rapid improvement in performance …
Training data generation and validation for a neural network-based equalizer
The neural network (NN) has been widely used as a promising technique in fiber optical
communication owing to its powerful learning capabilities. The NN-based equalizer is …
communication owing to its powerful learning capabilities. The NN-based equalizer is …
Signal processing techniques for optical transmission based on eigenvalue communication
J Koch, K Chan, CG Schaeffer… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
A minimum mean squared error (MMSE) equalizer is a way to effectively increase
transmission performance for nonlinear Fourier transform (NFT) based communication …
transmission performance for nonlinear Fourier transform (NFT) based communication …
Time-domain neural network receiver for nonlinear frequency division multiplexed systems
The nonlinear Fourier transform is a new approach for addressing the capacity limiting Kerr
nonlinearities in optical communication systems. It exploits the property of integrability of the …
nonlinearities in optical communication systems. It exploits the property of integrability of the …