Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks

Hai Victor Habi, Hagit Messer, Yoram Bresler

The Bayesian Cramér-Rao bound (BCRB) is a crucial tool in signal processing for assessing the fundamental limitations of any estimation problem as well as benchmarking within a Bay…