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Deep Learning Based End-to-End Optical Wireless Communication Systems with Autoencoders
  • Hossein Safi ,
  • Iman Tavakkolnia ,
  • Harald Haas
Hossein Safi
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Iman Tavakkolnia
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Harald Haas
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We integrate the differential signaling technique from OWC systems into our work, suggesting a practical autoencoder-based architecture that accommodates negative encoder output elements. This  capability affords us a greater degree of freedom in shaping the signal constellation space when compared to traditional AEs.