Support recovery with sparsely sampled free random matrices

Keyphrases

• Random Matrices 100%
• Support Recovery 100%
• Mutually Independent 50%
• Error Rate 50%
• Additive White Gaussian Noise 50%
• Large Deviations 50%
• Replica Method 50%
• Recovery Error 50%
• Information-theoretic Bounds 50%
• Mutual Information 50%
• Input-output 50%
• Vector Component 50%
• Matrix Classes 50%
• Class of Estimators 50%
• Linear MMSE 50%
• Sampling Model 50%
• Sparse Vector 50%
• Compressive Sampling 50%
• Invariant Matrix 50%
• Decoupling Principle 50%
• Haar Matrices 50%
• Bernoulli-Gaussian 50%

Mathematics

• Matrix (Mathematics) 100%
• Random Matrix 100%
• Gaussian Distribution 25%
• Random Noise 25%
• Error Rate 25%
• Mutual Information 25%
• Component Vector 25%