AE6505: Random Processes and Kalman Filtering

3 Credits

Probability and random variables and processes; correlation; shaping filters; simulation of sensor errors; Wiener filter; random vectors; covariance propagation; recursive least-squares; Kalman filter; extensions.

Requisites

All Instructors

GPA: 3.51Most Common: A (53.4%)

This total includes data from semesters with unknown instructors

204 students
WVUSFDCBA


  • Vince Kim

    Website Lead

Buzz Grades is maintained by Donghyun "Vince" Kim · Data: LITE (2016-2025), Course Catalog & OSCAR

Copyright

2025 Donghyun Kim, Buzz Grades

Privacy Policy

·

Feedback