7通道 WDM DP16-QAM 传输数据

该数据集隶属于课题2，开展了远程光通信中的神经网络与自适应数字信号处理的训练研究，获得了1dB的衰减优化。实验原始数据采用标准计量过的标准仪器仪表测试得到，采用Python进行处理和图表绘制。支撑论文“Combined neural network and adaptive DSP training for long-haul optical communications”

This dataset is affiliated with Project 2. It was utilized for training research on neural networks and adaptive digital signal processing (DSP) in long-haul optical communications, achieving an attenuation optimization of 1 dB. The original experimental data was collected through tests using calibrated standard instrumentation, and data processing and chart plotting were performed using Python. This work supports the paper titled "Combined neural network and adaptive DSP training for long-haul optical communications"

搜集汇总

背景与挑战

背景概述

该数据集提供了7通道波分复用（WDM）双偏振16-QAM传输的实验数据，专注于远程光通信中神经网络与自适应数字信号处理的训练研究，实现了1dB衰减优化。数据通过标准仪器测试生成，使用Python处理，支撑相关学术论文，并隶属于国家重点研发计划项目“新型光纤传输系统架构与关键技术研究”。