Autor:	Theiler, James
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Signal Processing Mathematics - Statistics Theory 62C10 G.3
Druh dokumentu:	Working Paper
Popis:	Bayesian priors are investigated for detecting targets of known spectral signature (but unknown strength) in cluttered backgrounds. A specific problem is the construction (or ``sculpting'') of a Bayesian prior that uniformly outperforms its non-Bayesian counterpart, the nominally sub-optimal but widely used Generalized Likelihood Ratio Test (GLRT). Comment: 11 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.04572 Zobrazit plný text záznamu View this record from Arxiv