Learning Based Noise Identification Techniques Using Time-Frequency Analysis and the U-Net

Keyphrases

• Time-frequency Analysis 100%
• Learning-based 100%
• Noise Identification 100%
• Identification Method 100%
• U-Net 100%
• Image Segmentation 33%
• Wireless Communication 33%
• Signal-to-noise Ratio 33%
• Pixel Classification 33%
• Deep Learning Methods 33%
• Time-frequency Domain 33%
• Detection Range 33%
• Noise Effects 33%
• Low Signal-to-noise Ratio 33%
• Radar Signal Processing 33%
• Classification Network 33%
• Analysis of Fundamental Frequency 33%
• Sea Clutter 33%
• Clutter Detection 33%
• Seashore 33%
• Remote Detection 33%

Engineering

• Signal-to-Noise Ratio 100%
• Time Frequency Analysis 100%
• Frequency Domain 50%
• Fundamental Frequency 50%
• Wireless Communication 50%
• Frequency Analysis 50%
• Detection Range 50%
• Radar Signal Processing 50%
• Classification Network 50%
• Sea Clutter 50%
• Deep Learning Method 50%