@inproceedings{c5c08074fb71439baf1710151a79c462,
title = "Water-to-Air PAM4 Optical Camera Communication Using Long Short Term Memory Neural Network (LSTM-NN)",
abstract = "We demonstrate a wide field-of-view (FOV) water-to-air transmission using rolling-shutter-based optical-camera-communication (OCC). Long-short-term-memory-neural-network (LSTM-NN) is utilized to mitigate the wavy water-surface induced link outage and to decode 4-level pulse-amplitude-modulation (PAM4) rolling-shutter pattern.",
author = "Chang, {Yun Han} and Tsai, {Shang Yen} and Tsai, {Ming Chieh} and Li, {Jia Fu} and Jian, {Yin He} and Chow, {Chi Wai} and Yeh, {Chien Hung}",
note = "Publisher Copyright: {\textcopyright} 2024 OSA.; 2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 ; Conference date: 24-03-2024 Through 28-03-2024",
year = "2024",
language = "English",
series = "2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings",
address = "United States",
}