Nonlinear Kalman Filters (and Parameter Estimation)
Master advanced nonlinear Kalman filtering techniques including EKF, UKF, and parameter estimation methods.
Course Cost
Free course
Intermediate
Skill Level
19 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Applied Kalman Filtering Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Implement extended Kalman filter algorithms
Develop sigma-point Kalman filters
Design adaptive estimation methods
Create parameter estimation systems
Apply joint state-parameter estimation
Optimize filter performance
Skills you'll gain
This course includes:
5.6 Hours PreRecorded video
27 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This advanced course covers the theory and implementation of nonlinear Kalman filtering techniques. Students learn to derive and implement extended Kalman filter (EKF) and sigma-point Kalman filter (SPKF) algorithms for nonlinear systems. The curriculum includes adaptive methods, parameter estimation, and joint state/parameter estimation, with practical implementation using Octave code.
The extended Kalman filter
Module 1 · 5 Hours to complete
The sigma-point (unscented) Kalman filter
Module 2 · 4 Hours to complete
Extensions and refinements to nonlinear Kalman filters
Module 3 · 5 Hours to complete
Parameter estimation and joint estimation
Module 4 · 5 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
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