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Updated: Jan 9, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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高斯混合模型用于提高光网络中传输估计质量:一种机器学习方法

Shakrajit Sahu1, J Christopher Clement2

  • 1School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Scientific reports
|December 9, 2025
PubMed
概括

本研究介绍了一种深度学习 (DL) 方法,使用高斯混合模型 (GMM) 来估计光网络中的传输质量 (QoT). GMM准确地预测了未知光学路径的比特错误率和SNR,提高了网络性能.

关键词:
比特错误率比特错误率是多少光纤通信是光纤通讯的一种方式.高斯混合物模型模型的高斯混合物模型.机器学习 机器学习信号与噪声的比率.

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