Deep Convolution Network Based Super Resolution DOA Estimation with Toeplitz and Sparse Prior

Keyphrases

• Super-resolution 100%
• Network Applications 100%
• Direction of Arrival Estimation 100%
• Toeplitz 100%
• Deep Convolutional Network 100%
• Sparse Prior 100%
• Deep Learning 66%
• Linear Representation 66%
• Enhanced Resolution 33%
• Estimation Accuracy 33%
• Direction of Arrival 33%
• Small Sample Size 33%
• Uniform Linear Array 33%
• Shrinkage Methods 33%
• Representation Problem 33%
• Sample Covariance Matrix 33%
• Linear Shrinkage 33%
• Array Covariance Matrix 33%
• Training Dataset 33%
• Enhanced Samples 33%

Computer Science

• super resolution 100%
• direction-of-arrival 100%
• Convolution 100%
• Deep Learning Method 66%
• Linear Representation 66%
• Estimation Accuracy 33%
• Training Dataset 33%
• Covariance Matrix 33%
• Sample Covariance Matrix 33%

Engineering

• Direction-of-Arrival Estimation 100%
• Deep Learning Method 100%
• Uniform Linear Array 50%
• Sample Covariance Matrix 50%
• Covariance Matrix 50%
• Linear Shrinkage 50%
• direction-of-arrival 50%