Mingchao Liang

Bernoulli-Gaussian Scale Mixture Model and BP Method for Multi-Snapshot Sparse Signal Recovery

We present a general Bernoulli Gaussian scale mixture based approach for modeling priors that can represent a large class of random signals. For inference, we introduce belief propagation (BP) to multi-snapshot signal recovery based on the minimum mean square error estimation criteria. Our method re…