Add to BibSonomyAbstract
A deep convolutional autoencoder (C-AE) for end-to-end adoption of orthogo-nal frequency division multiplexing (OFDM) based optical camera communications (OCC) is proposed and the feasibility of the neural network (NN) is verified by simulations.
© 2019 The Author(s)
PDF ArticleMore Like This
Autoencoder Model for OFDM-based Optical Wireless Communication
Priti G. Pachpande, Monette H. Khadr, Hesham Hussien, Hany Elgala, and Dola Saha
SpT2E.3 Signal Processing in Photonic Communications (SPPCom) 2019
Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication
Vladislav Neskorniuk, Andrea Carnio, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, and Vahid Aref
SW4E.5 CLEO: Science and Innovations (CLEO:S&I) 2022
Experimental Demonstration of Optical Fiber Eavesdropping Detection Based on Deep Learning
Mingzhe Liu, Yajie Li, Haokun Song, Zhiwei Tu, Yongli Zhao, and Jie Zhang
T1H.4 Asia Communications and Photonics Conference (ACP) 2019