Search results
23 lip 2020 · Optimizing the standard digital back propagation (DBP) as a deep neural network (DNN) with interleaving linear and nonlinear operations for fiber nonlinearity compensation was shown to improve ...
22 lis 2021 · A neural network platform that incorporates photonic components can be used to predict optical fibre nonlinearities and improve the signal quality of submarine fibre communications.
31 lip 2017 · The Kerr nonlinearity limit for optical fibre communications is surpassed by using nonlinear multiplexing.
15 sty 2023 · There is growing evidence of the necessity of a novel paradigm and radically new approaches to coding, transmission, and processing of information, which would take into account the nonlinear properties of the optical fiber.
Abstract: We propose a new machine-learning approach for fiber-optic communication systems whose signal propagation is governed by the nonlinear Schrödinger equation (NLSE). Our main observation is that the popular split-step method (SSM) for numerically solving the NLSE has essentially the same functional form as a deep multi-layer neural ...
This numerical solver is freely available, implemented in MATLAB® and includes a number of multimode fiber analysis tools. It features a significant parallel computing speed-up on modern graphical processing units, translating to orders-of-magnitude speed-up over the split-step Fourier method.
It features a significant parallel computing speed-up on modern graphical processing units, translating to orders-of-magnitude speed-up over the conventionally-used split-step Fourier method. We demonstrate its use with several examples in graded- and step-index multimode fibers.
