@inproceedings{0d4b24cf855344fc860c52cd08d0ebf1,
title = "166-m Rolling Shutter Based Free Space Optical Communication (FSO) Utilizing Long Short Term Memory Neural Network (LSTM-NN) for Decoding PAM4 Signal",
abstract = "We propose and preset the first demonstration of a record high 298.8-kbit/s•m bit-rate distance product rolling-shutter image-sensor based free-space-optical-communication (FSO) system. Long-short-term-memory-neural-network (LSTM-NN) is utlized to decode the 4-level pulse-amplitude-modulation (PAM4) rolling-shutter pattern.",
author = "Tsai, {Deng Cheng} and Chang, {Yun Han} and Tsai, {Shang Yen} and Hsu, {Li Sheng} and Chow, {Chi Wai} and Peng, {Ching Wei} and Lin, {Yuan Zeng} and Jian, {Yin He} and Yang Liu and Yeh, {Chien Hung}",
note = "Publisher Copyright: {\textcopyright} 2022 Optica.; 2022 European Conference on Optical Communication, ECOC 2022 ; Conference date: 18-09-2022 Through 22-09-2022",
year = "2022",
language = "English",
series = "2022 European Conference on Optical Communication, ECOC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 European Conference on Optical Communication, ECOC 2022",
address = "United States",
}