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 …
Digital signal processing for fiber nonlinearities
Digital signal processing for fiber nonlinearities [Invited] clickable element to expand a topic
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Nonlinear signal multiplexing for communication beyond the Kerr nonlinearity limit
Current optical fibre transmission systems rely on modulation, coding and multiplexing
techniques that were originally developed for linear communication channels. However …
techniques that were originally developed for linear communication channels. However …
Performance limits in optical communications due to fiber nonlinearity
In this paper, we review the historical evolution of predictions of the performance of optical
communication systems. We will describe how such predictions were made from the outset …
communication systems. We will describe how such predictions were made from the outset …
Photonic machine learning implementation for signal recovery in optical communications
Abstract Machine learning techniques have proven very efficient in assorted classification
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …
Imaging through nonlinear metalens using second harmonic generation
C Schlickriede, N Waterman, B Reineke… - Advanced …, 2018 - Wiley Online Library
The abrupt phase change of light at metasurfaces provides high flexibility in wave
manipulation without the need for accumulation of propagating phase through dispersive …
manipulation without the need for accumulation of propagating phase through dispersive …
Performance and complexity analysis of bi-directional recurrent neural network models versus volterra nonlinear equalizers in digital coherent systems
S Deligiannidis, C Mesaritakis… - Journal of Lightwave …, 2021 - opg.optica.org
We investigate the complexity and performance of recurrent neural network (RNN) models
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
High-order modulation on a single discrete eigenvalue for optical communications based on nonlinear Fourier transform
In this paper, we experimentally investigate high-order modulation over a single discrete
eigenvalue under the nonlinear Fourier transform (NFT) framework and exploit all degrees …
eigenvalue under the nonlinear Fourier transform (NFT) framework and exploit all degrees …
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 …
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 …