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- W2963324320 abstract "This work demonstrates a computational method for predicting the light propagation through a single multimode fiber using a deep neural network. The experiment for gathering training and testing data is performed with a digital micro-mirror device that enables the spatial light modulation. The modulated patterns on the device and the captured intensity-only images by the camera form the aligned data pairs. This sufficiently-trained deep neural network frame has very excellent performance for directly inferring the intensity-only output delivered though a multimode fiber. The model is validated by three standards: the mean squared error (MSE), the correlation coefficient (corr) and the structural similarity index (SSIM)." @default.
- W2963324320 created "2019-07-30" @default.
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- W2963324320 date "2018-10-01" @default.
- W2963324320 modified "2023-09-24" @default.
- W2963324320 title "Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network" @default.
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- W2963324320 doi "https://doi.org/10.1109/iaeac.2018.8577930" @default.
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