Summarize key results, such as improved accuracy at low signal-to-noise ratios (SNR).
Describe how hyperparameters are estimated (e.g., Expectation-Maximization or Type-II Maximum Likelihood) to identify the "support set" of the signal. 5. Algorithm Performance MSBL [v0].rar
Explain the hierarchical Bayesian model where each row of is assigned a common variance hyperparameter. Summarize key results, such as improved accuracy at