m-QAM Receiver Based on Data Stream Spectral Clustering for Optical Channels Dominated by Nonlinear Phase Noise

m-QAM Receiver Based on Data Stream Spectral Clustering for Optical Channels Dominated by Nonlinear Phase Noise

Optical communication systems face challenges like nonlinear noises, particularly Kerr-induced phase noise, which worsens with higher-order m-QAM formats due to their dense data-symbol sets. Advanced signal processing, including machine learning, is increasingly used to enhance signal integrity duri...

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Bibliographic Details
Main Authors: Miguel Solarte-Sanchez, David Marquez-Viloria, Andrés E. Castro-Ospina, Erick Reyes-Vera, Neil Guerrero-Gonzalez, Juan Botero-Valencia
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Algorithms
Subjects:
spectral clustering
data streaming
optical communications
nonlinear phase noise
Online Access:https://www.mdpi.com/1999-4893/17/12/553
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