Queen Mary Researchers demonstrated continuous transmission of high-density spatial information through an evolving single multimode fibre using deep learning
26 February 2021
Continuous transmission of high-spatial-density information accurately through a standard multimode optical fibre was previously deemed impossible, due to the high variability presented in multimode fibre information channels over time.
Researchers at Queen Mary University of London demonstrated a deep-learning enabled high-spatial-density information transmission scheme for standard multimode optical fibres, where a semi-supervised learning approach is used to overcome the highly variable nature of multimode fibre information channels.
This high-spatial-density data transmission framework has the potential to utilise the full spatial capacity of multimode fibers for future image and data transmission. This piece of work is published in Laser & Photonics Reviews.