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EE 7160 - Multisensor and Information FusionCredit Hour(s): 3 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. Level: Graduate Schedule Type(s): Lecture
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