Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Z-Score Averaging Neural Network and Background Content Removal for High Performance Rolling Shutter based Optical Camera Communication (OCC)

Not Accessible

Your library or personal account may give you access

Abstract

We propose and demonstrate using Z-score averaging neural-network (Z-NN) and background-content-removal (BCR) to mitigate the inter-symbol-interference (ISI) in camera-communication (OCC). 950-bit/s over 3-m free-space transmission is achieved.

© 2021 The Author(s)

PDF Article
More Like This
Long Short-Term Memory Neural Network to Enhance the Data Rate and Performance for Rolling Shutter Camera Based Visible Light Communication (VLC)

Ching-Wei Peng, Deng-Cheng Tsai, Yun-Shen Lin, Chi-Wai Chow, Yang Liu, and Chien-Hung Yeh
W3I.5 Optical Fiber Communication Conference (OFC) 2022

Wide Field-of-View (FOV) Light-Diffusing Fiber Optical Transmitter for Rolling Shutter based Optical Camera Communication (OCC)

Deng-Cheng Tsai, Yun-Han Chang, Yang Liu, Chi-Wai Chow, Yun-Shen Lin, and Chien-Hung Yeh
Tu3C.3 Optical Fiber Communication Conference (OFC) 2022

A Frame Averaging based Signal Tracing (FAST) Algorithm for Optical Camera Communications

Liqiong Liu, Yang Hong, and Lian-Kuan Chen
Su3D.3 Asia Communications and Photonics Conference (ACPC) 2018

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved