Deep Learning Based Modulation for Quantized SIMO Communications

Keyphrases

• Deep Learning Methods 100%
• Low-resolution Analog-to-digital Converters 100%
• Spectral Efficiency 75%
• Modulation Scheme 75%
• High-resolution 25%
• Power Consumption 25%
• Power Source 25%
• Output Systems 25%
• Analog-to-digital Converter 25%
• Energy Consumption Reduction 25%
• Shannon Capacity 25%
• Digital Receiver 25%
• High SNR 25%
• Fully Digital 25%
• Multiple Output 25%
• Energy-performance Tradeoff 25%
• Hybrid Receiver 25%

Engineering

• Analog-to-Digital Converter 100%
• Deep Learning 100%
• Spectral Efficiency 60%
• Modulation Scheme 60%
• Quantization (Signal Processing) 40%
• High Resolution 20%
• Electric Power Utilization 20%
• Performance Trade 20%
• Output System 20%
• Digital Receiver 20%
• Shannon Capacity 20%
• Reduce Power Consumption 20%

Computer Science

• Analog-to-Digital Converter 100%
• Deep Learning 100%
• Spectral Efficiency 60%
• Modulation Scheme 60%
• Quantization (Signal Processing) 40%
• Performance Trade 20%
• Power Consumption 20%
• Shannon Capacity 20%
• optimal power 20%
• Reduce Power Consumption 20%