On-demand training of deep learning equalizers for rolling shutter optical camera communications-Reference-Cited by-同舟云学术

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On-demand training of deep learning equalizers for rolling shutter optical camera communications

Published:2022-07-20 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
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Author:

Jurado-Verdu Cristo¹,Guerra Victor²,Guerra Carlos³,Rabadan Jose¹,Zvanovec Stanislav³,Perez-Jimenez Rafael¹

Affiliation:

1. Institute for Technological Development and Innovation in Communications (IDeTIC) Universidad de Las Palmas de Gran Canaria (ULPGC),Las Palmas de Gran Canaria,Spain

2. Pi Lighting Sarl,Sion,Switzerland

3. Czech Technical University in Prague,Faculty of Electrical Engineering,Czech Republic

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9907868/9907893/09907920.pdf?arnumber=9907920

Reference17 articles.

1. Artificial Neural Network-Based Scheme for 4-PWM OCC System

2. Deep learning for signal clock and exposure estimation in rolling shutter optical camera communication

3. The Utilization of Artificial Neural Network Equalizer in Optical Camera Communications

4. A comprehensive survey on transfer learning;zhuang;Proceedings of the IEEE,2020

5. Xception: Deep Learning with Depthwise Separable Convolutions

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Timing Synchronization for Smartphone-Based Optical Camera Communication;2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2023-06-06

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