Linear Kalman Filter Deep Dive (and Target Tracking)
About this Course
As a follow-on course to \"Kalman Filter Boot Camp\", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the standard assumptions. Applies this understanding to enhancing the robustness of the filter and to extend to applications including prediction and smoothing. Shows how to implement a target-tracking application in Octave code using an interacting multiple-model Kalman filter.Created by: University of Colorado System
Related Online Courses
This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work,... more
By the end of this project, you will learn how to use Canva to create a simple 3D effect for a customised cover image to enhance your Linkedin profile. Canva is a graphic design platform, used to... more
In this course, we will present atomic bonding and its relation to crystal structure and physical properties. A particular focus will be on the different types of cubic structures. There will be an... more
This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical... more
Wondering why economists have not predicted serious financial crises? Shocked by economic assumptions of human behavior as self-centered and focusing only on what can be measured? Asking yourself... more
Powered by
