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Back-propagation neural network assisted photonic real-time Fourier transformation system

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Abstract

A photonic real-time Fourier transformation system assisted by back-propagation neural network is proposed. The frequency measurement over 2 to 11 GHz is experimentally achieved. The absolute measurement error is improved from 47.9 to 4.3 MHz. The generalization performance is also proved.

© 2021 The Author(s)

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