State Estimation & Kalman Filtering | UW EE 549 Course
Kristi Morgansen
Comprehensive introduction to state estimation and Kalman filtering, covering linear and nonlinear techniques, with practical applications in control systems, robotics, and signal processing.
University CoursesRobotics
Introduction
This course provides an introduction to state estimation and Kalman filtering, covering topics such as linear and nonlinear state estimation, Kalman filters, and their applications.
Highlights
Covers both linear and nonlinear state estimation techniques
Focuses on Kalman filtering and its practical applications
Taught by Professor Kristi Morgansen, an expert in the field
Recommendation
This course is recommended for students and professionals interested in learning about state estimation and Kalman filtering, which are widely used in various fields such as control systems, robotics, and signal processing.
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