Robust computationally-efficient wireless emitter classification using autoencoders and convolutional neural networks

Computer Science

• Autoencoder 100%
• Convolutional Neural Network 100%
• Propagation Condition 40%
• Channel Condition 40%
• Access Technology 40%
• Average Accuracy 20%
• Wi-Fi 20%
• Visual Feature 20%
• Wireless Access 20%
• Spectrum Monitoring 20%
• time-frequency representation 20%
• classification approach 20%
• Computational Cost 20%
• Classification Accuracy 20%
• Computational Resource 20%
• Computational Efficiency 20%
• Interference Management 20%
• Machine Learning 20%
• Learning System 20%
• Deep Learning Method 20%
• Denoising Autoencoder 20%

Engineering

• Autoencoder 100%
• Convolutional Neural Network 100%
• Channel Condition 40%
• Spectrogram 40%
• Propagation Condition 40%
• Radio Access Technology 40%
• Doppler Effect 20%
• Computational Efficiency 20%
• Classification Accuracy 20%
• Spectral Resource 20%
• Computational Resource 20%
• Interference Management 20%
• Scale Fading 20%
• Frequency Representation 20%
• Network Edge 20%
• Denoising Autoencoders 20%
• Wi-Fi 20%
• Computational Cost 20%
• Learning System 20%
• Deep Learning Method 20%

Chemical Engineering

• Neural Network 100%
• Learning System 20%
• Deep Learning Method 20%