Data Fusion with Linear Kalman Filter
Theory and Implementation
4.61 (667 reviews)

4,602
students
5.5 hours
content
Dec 2020
last update
$84.99
regular price
What you will learn
How to probabilistically express uncertainty using probability distributions
How to convert differential systems into a state space representation
How to simulate and describe state space dynamic systems
How to use Least Squares Estimation to solve estimation problems
How to use the Linear Kalman Filter to solve optimal estimation problems
How to derive the system matrices for the Kalman Filter in general for any problem
How to optimally tune the Linear Kalman Filter for best performance
How to implement the Linear Kalman Filter in Python
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3420416
udemy ID
8/15/2020
course created date
1/7/2021
course indexed date
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