@inproceedings{2e0adfac4f654dff8067310da7b47c14,
title = "Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)",
abstract = "We propose and demonstrate using Long-Short-Term-Memory neural-network (LSTM-NN) to mitigate inter-symbol-interference (ISI) in 4-level pulse-amplitude-modulation (PAM4) camera based visible-light-communication (VLC) system. Data-rate of 14.4-kbit/s with 3-m free-space transmission is achieved.",
author = "Peng, {China Wei} and Tsai, {Deng Cheng} and Lin, {Yun Shen} and Chow, {Chi Wai} and Yang Liu and Yeh, {Chien Hung}",
note = "Publisher Copyright: {\textcopyright} 2022 The Author(s); 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 ; Conference date: 06-03-2022 Through 10-03-2022",
year = "2022",
language = "English",
series = "2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings",
address = "United States",
}