An empirical-bayes approach to recovering linearly constrained non-negative sparse signals

Jeremy P. Vila, Philip Schniter. An empirical-bayes approach to recovering linearly constrained non-negative sparse signals. In 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, St. Martin, France, December 15-18, 2013. pages 5-8, IEEE, 2013. [doi]

Abstract

Abstract is missing.