University of Colorado System
Nonlinear Kalman Filters (and Parameter Estimation)
University of Colorado System

Nonlinear Kalman Filters (and Parameter Estimation)

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

21 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

21 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Applied Kalman Filtering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

This week, you will learn how to implement the extended Kalman filter to estimate the state of a nonlinear system.

What's included

8 videos13 readings7 assignments1 discussion prompt1 ungraded lab

This week, you will learn how to implement the sigma-point Kalman filter to estimate the state of a nonlinear system.

What's included

6 videos6 readings6 assignments1 ungraded lab

This week, you will learn how to extend and refine nonlinear Kalman filters for special cases.

What's included

7 videos7 readings7 assignments3 ungraded labs

This week, you will learn how to use nonlinear Kalman filters to estimate model parameter values.

What's included

7 videos7 readings7 assignments3 ungraded labs

Instructor

Gregory Plett
University of Colorado System
9 Courses71,346 learners

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