EE 7160 - Multisensor and Information Fusion

Credit Hour(s): 3

Course 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

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

Course Level: Graduate
Schedule Type(s): Lecture

Grade Mode: Standard
An additional fee is associated with this course.