Super-resolution DOA estimation via continuous group sparsity in the covariance domain

Keyphrases

• Super-resolution 100%
• Covariance 100%
• Continuous Groups 100%
• Group Sparsity 100%
• Super-resolution DOA Estimation 100%
• Covariance Model 50%
• Minimization Problem 50%
• Discretize 50%
• Compressed Sensing 50%
• Spectral-spatial Feature 50%
• Correlated Sources 50%
• Total Variation Regularization 50%
• Semidefinite Programming 50%
• Least Absolute Shrinkage and Selection Operator (LASSO) 50%
• Continuous Domain 50%
• Source Signal 50%
• Uncorrelated Sources 50%
• Dual Problem 50%
• Recovery Approach 50%
• Estimation of Direction of Arrival 50%
• Norm Minimization 50%
• Multiple Measurement Vectors 50%
• Spectral Covariance 50%
• Search Domain 50%
• Spatial Covariance Model 50%
• Gridless Method 50%
• Sensing Methods 50%

Mathematics

• Covariance Model 100%
• Continuous Group 100%
• Covariance 100%
• Total Variation 50%
• Signal Source 50%
• Continuous Domain 50%
• Dual Problem 50%

Computer Science

• Sparsity 100%
• super resolution 100%
• Semidefinite Programming 33%
• Compressed Sensing 33%
• Dual Problem 33%
• direction-of-arrival 33%
• Total Variation 33%
• Continuous Domain 33%
• Measurement Vector 33%