A rate-compatible punctured Polar code decoding scheme based on deep learning

Engineering

• Convolutional Neural Network 50%
• Decoding Performance 50%
• Deep Learning 100%
• Log-Likelihood Ratio 50%
• Network Model 50%
• Received Sequence 50%
• Signal-to-Noise Ratio 50%
• Simulation Result 50%
• Transmissions 100%

Computer Science

• Convolutional Neural Network 50%
• Decoding Performance 50%
• Deep Learning 100%
• Likelihood Ratio 50%
• Neural Network Model 50%
• Noise-to-Signal Ratio 50%
• Optical Communication 50%
• Transmission Efficiency 50%