A survey on machine learning for optical communication [machine learning view]

MA Amirabadi - arXiv preprint arXiv:1909.05148, 2019 - arxiv.org
Machine Learning (ML) for Optical Communication (OC) is certainly a hot topic emerged
recently and will continue to raise interest at least for the next few years. The rate of research …

Comparative study of neural network architectures for modelling nonlinear optical pulse propagation

N Gautam, A Choudhary, B Lall - Optical Fiber Technology, 2021 - Elsevier
Ultrashort pulses have a crucial role in the evolution of different areas of science such as
ultra fast imaging, femtochemistry and high harmonic spectroscopy and therefore …

System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm

D Wang, M Zhang, Z Li, C Song, M Fu, J Li… - Optics Communications, 2017 - Elsevier
A bio-inspired detector based on the artificial neural network (ANN) and genetic algorithm is
proposed in the context of a coherent optical transmission system. The ANN is designed to …

Data-defined naïve Bayes (DNB) based decision scheme for the nonlinear mitigation for OAM mode division multiplexed optical fiber communication

S Zhou, R Gao, Q Zhang, H Chang, X Xin, Y Zhao… - Optics …, 2021 - opg.optica.org
In this manuscript, a data-defined naïve Bayes (DNB)-based decision scheme for nonlinear
mitigation is presented for an orbital angular momentum (OAM) mode-division multiplexed …

A novel support vector machine robust model based electrical equaliser for coherent optical orthogonal frequency division multiplexing systems

S Mhatli, H Mrabet, I Dayoub… - IET …, 2017 - Wiley Online Library
Classifiers, such as artificial neural networks non‐linear equaliser (ANN‐NLE), Wiener–
Hammerstein non‐linear equaliser, Volterra non‐linear equaliser (Volterra‐NLE) and …

[图书][B] Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

RF Coelho, VH Nascimento, RL De Queiroz… - 2018 - books.google.com
Signals and Images: Advances and Results in Speech, Estimation, Compression,
Recognition, Filtering, and Processing cohesively combines contributions from field experts …

Neural networks for modelling nonlinear pulse propagation

N Gautam, A Choudhary, B Lall - Applications of Machine …, 2021 - spiedigitallibrary.org
The interaction of dispersion and nonlinear effects gives rise to a wide variety of pulse
dynamics and proves to be a fundamental bottleneck for high speed communications …

Adaptive neuro-fuzzy inference system-based nonlinear equalizer for CO-OFDM systems

AA Raj, Dejey - The Computer Journal, 2020 - academic.oup.com
The principle of orthogonal frequency-division multiplexing (OFDM) is to transmit the data
through a large number of multiple orthogonal subcarriers. The coherent optical OFDM (CO …

[PDF][PDF] 1 Bio-Inspired and Information-Theoretic Signal Processing

Signal processing is a broader field than it may seem prima facie. Essentially, it is related to
the notion of using a specially designed system (which will be termed filter) to mold an input …