Compressive sensing of signals from a GMM with sparse precision matrices

Engineering

• Gaussian Mixture Model 100%
• Compressive Sensing 100%
• Gaussians 40%
• Sparsity 40%
• Performance Improvement 20%
• State-of-the-Art Method 20%
• Assuming 20%
• Covariance Matrix 20%

Keyphrases

• Sparse Gaussian Graphical Models 20%
• Sparsity Level 20%
• Incomplete Measurements 20%
• Challenging Assumptions 20%
• Bayesian Shrinkage 20%