Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

Deep neural networks (DNNs) are employed to recover information after its propagation through a multimode fiber (MMF) in the presence of wavelength drift. The intensity distribution of the speckle patterns generated at the output of an MMF when an input wavefront propagates along its length is highl...

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Bibliographic Details
Main Authors: Eirini Kakkava, Navid Borhani, Babak Rahmani, Uğur Teğin, Christophe Moser, Demetri Psaltis
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
multimode fibers
deep learning
image classification
fiber-based optical computing
wavelength drift
Online Access:https://www.mdpi.com/2076-3417/10/11/3816

Internet

https://www.mdpi.com/2076-3417/10/11/3816

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