Accelerating Deep Learning in Reconstructive Spectroscopy Using Synthetic Data

Abstract

A deep learning prototype for a reconstructive spectrometer was developed using an experimentally determined spectrometer response and synthetic data generated from the response matrix. Benchmarking with synthetic and experimental data was performed.