Comparison of clustering algorithms for data detection in Multispectral Camera Communication-Reference-Cited by-同舟云学术

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Comparison of clustering algorithms for data detection in Multispectral Camera Communication

Published:2022-05-12 Issue: Volume: Page:
ISSN:
Container-title:2022 4th West Asian Symposium on Optical and Millimeter-wave Wireless Communications (WASOWC)
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Author:

Moreno Daniel¹,Mailesein Behnaz²,Guerra Victor³,Rufo Julio⁴,Rabadan Jose¹,Perez-Jimenez Rafael¹

Affiliation:

1. Universidad de las Palmas de Gran Canaria (ULPGC),Technology and Communications (IDeTIC),Las Palmas de Gran Canaria,Las Palmas,Spain,35017

2. Lightbee, S.L.,Las Palmas de Gran Canaria,Las Palmas,Spain,35017

3. Pi Lighting Sarl,Sion, Valais,Switzerland,1950

4. Universidad de La Laguna (ULL),Ramon y Cajal Researcher,San Cristobal de La Laguna, Santa Cruz de Tenerife,Spain,38208

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798404/9797906/09798432.pdf?arnumber=9798432

Reference15 articles.

1. Experimental Demonstration of OFDM-VLC System Employing Clustering Algorithm

2. Nonlinear Compensation Based on K-Means Clustering Algorithm for Nyquist PAM-4 VLC System

3. Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN

4. Rolling-shutter-effect camera-based visible light communication using RGB channel separation and an artificial neural network

5. PAM4 rolling-shutter demodulation using a pixel-per-symbol labeling neural network for optical camera communications

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