Vinay Kanakeri

SBL Algorithms for the Multiple Measurement Vector Problem: New Modeling and Inference Methods

This paper introduces new and practically relevant non-Gaussian priors for the Sparse Bayesian Learning (SBL) framework applied to the Multiple Measurement Vector (MMV) problem. We extend the Gaussian Scale Mixture (GSM) framework to model prior distributions for row vectors, exploring the use of sh…