2012/02/17 by Entao Liu, Edwin K. P. Chong, Liu, Entao +3 · 1 citation
Computer Science · Engineering · Mathematics · #Control Systems and Identification #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Statistical Methods and Inference
paper · pdf · doi:10.48550/arxiv.1202.3913
openalex publication_date 2012/02/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The purpose of this article is to examine the greedy adaptive measurement policy in the context of a linear Guassian measurement model with an optimization criterion based on information gain. In the special case of sequential scalar measurements, we provide sufficient conditions under which the greedy policy actually is optimal in the sense of maximizing the net information gain. In the general setting, we also discuss cases where the greedy policy is not optimal.