Nonlinear Kalman Filters (and Parameter Estimation)
- Type
- Course
- Organization
- Coursera
- Location
- Online
- Deadline
- Rolling or not stated
- Salary
- Free to Audit
- Remote
- Yes
About this Opportunity
As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic systems. You will learn how to implement these filters in Octave code and compare their results.
What you get
- Compensation: Free to Audit
How to apply
- Click the "Apply — via Coursera" button to go to the source page.
- Create an account or log in to the platform.
- Enroll in the course and complete payment (if applicable).
- Start learning at your own pace.
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