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Updated: May 30, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Published on: April 4, 2017

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低复杂度的神经网络等级器用于在数字子载波多重系统中减轻非线性

Sasipim Srivallapanondh, Pedro Freire, Giuseppe Parisi

    Optics express
    |January 29, 2025
    PubMed
    概括

    神经网络 (NN) 模型,特别是biLSTM和1D-CNN,显著降低了数字子载波复杂化 (DSCM) 光学系统中非线性补偿的计算复杂性. 重量聚类进一步增强了这种减少,为光学非线性均等器提供了一个有前途的解决方案.

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