Simultaneous Bayesian Sparse Approximation With Structured Sparse Models

Sparse approximation is key to many signal processing, image processing, and machine learning applications. If multiple signals maintain some degree of dependency, for example, the support sets are statistically related, then it will generally be advantageous to jointly estimate the sparse represent... View More