Deep Learning-Based Signal-to-Noise Ratio Estimation for Underwater Optical Wireless Communication.
Zhenquan ZhaoBohua DengFaisal Nadeem KhanH. Y. FuPublished 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