Scale Mixture Modeling of Priors for Sparse Signal Recovery This talk will discuss Bayesian approaches to solving the sparse signal recovery problem. In particular, methods based on priors that admit a scale mixture representation will be discussed with emphasis on Gaussian scale mixture modeling. In the context of MAP estimation…

Low Power, High Throughput Approaches 5G Computing and Communication Platforms Enabling the 5G vision of a wirelessly interconnected ecosystem involving every aspect of our life including society, machines and the supporting infrastructure, requires innovation and optimization at all levels of the hierarchy. In this talk, we…