Deep Learning-Based Signal-to-Noise Ratio Estimation for Underwater Optical Wireless Communication.

Zhenquan Zhao Bohua Deng Faisal Nadeem Khan H. Y. Fu

Published in: ICAIT (2022)

Keyphrases

signal to noise ratio
wireless communication
deep learning
wireless networks
wireless sensor networks
communication networks
computer simulation

unsupervised learning
mobile communication
sensor networks
orthogonal frequency division multiplexing
machine learning
bit error rate
edge detection

ofdm system
mental models
weakly supervised
wireless channels
estimation algorithm
received signal
additive white gaussian noise

data sets
semi supervised
image segmentation
decision making
computer vision
data mining