Multisensor and Information Fusion

Course Type: 
EE
Code: 
7160
Level: 
Graduate
Credit Hours: 
3
Schedule Type: 
Lecture
Description: 

Sensor characteristics, sensor information processing, management, modeling, and coordination. Statistical, Bayesian and Fisher, weighted least-square, dynamic distributed and centralized, rule-based and adaptive sensor fusion. Demptster-Shafer technique. Fusion by Markov random fields. Multiresolutional sensor fusion. Fusion with out-of-sequence measurements. Department Managed Prerequisite(s): Graduate level EE 7610 Minimum Grade of D

Restrictions: 
Must be enrolled in one of the following Levels: Graduate, Medical, Professional.