Convolutional neural network combined with stochastic parallel gradient descent to decompose fiber modes based on far-field measurements

Modal decomposition (MD) of fiber modes based on direct far-field measurement combining the convolutional neural network (CNN) with a stochastic parallel gradient descent (SPGD) algorithm is investigated both numerically and experimentally. For obtaining the modal coefficients of fiber modes guided...

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Veröffentlicht in:	Journal of lightwave technology 2023-09, Vol.41 (18), p.1-9
Hauptverfasser:	Kim, Byungho, Na, Jeongkyun, Jeong, Yoonchan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Charge coupled devices Computer simulation convolutional neural network Convolutional neural networks Decomposition deep learning Hermite-Gaussian modes Initial conditions Modal decomposition multimode fiber Neural networks Optical fiber devices Optical fiber networks Optical fiber polarization Optical variables measurement Optimization Real time operation Real-time systems stochastic parallel gradient descent
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