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Optical Camera Communication (OCC)

This repository contains the code for generating synthetic samples of rolling shutter links based on (i) the camera's exposure and (ii) row sampling times, and (iii) the transmitter symbol time.

This repository contains the code used for the publication of "On-demand training of deep learning equalizers for rolling shutter optical camera communications."

It includes the U-net model and the training, validation, and testing procedures.

This repository contains the code used for the publication of "Convolutional autoencoder for exposure effects equalization and noise mitigation in optical camera communication"

It includes the CAE model and the training, validation, and testing procedures.

The latest version of this code can be found in the repository "On-demand training of deep learning equalizers for rolling shutter optical camera communications".