Descriptions
Applied Kalman Filtering Specialization, In this specialization, you will learn how to derive, design, and implement Kalman-filter solutions to common engineering problems. You will be able to develop linear and nonlinear Kalman filters and particle filters in Octave code and debug and correct anomalous behaviors. Learners will start with provided code templates (in the Octave/MATLAB language) to develop solutions for state estimation, target tracking, parameter estimation, and navigation problems. An emphasis on a detailed fundamental background enables implementations that are robust and efficient.
What you’ll learn
- How to design and implement robust linear and nonlinear Kalman filters and particle filters to solve important engineering state-estimation problems.
Who this course is for
- Engineers and students interested in state estimation and filtering techniques
- Professionals seeking practical skills in Kalman and particle filters
- Anyone with a background in engineering or applied mathematics looking to implement robust estimation algorithms
Specificatoin of Applied Kalman Filtering Specialization
- Publisher : Coursera
- Teacher : Gregory Plett
- Language : English
- Level : Intermediate
- Number of Course : 4
- Duration : 4 months to complete at 5 hours a week
Content of Applied Kalman Filtering Specialization
Requirements
- A BS in Engineering or mastery of differential & integral calculus, linear algebra, differential equations, random variables, scientific programming
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Course 1 – Kalman Filter Boot Camp (and State Estimation)
Course 2 – Linear Kalman Filter Deep Dive (and Target Tracking)
Course 3 – Nonlinear Kalman Filters (and Parameter Estimation)
Course 4 – Particle Filters (and Navigation)
Password file(s): www.downloadly.ir
File size
7.58 GB
