Kalman Filtering: Theory and Practive Using MATLAB

1 General Information
2 Linear Dynamic Systems
3 Random Processes and Stochastic Systems
4 Linear Optimal Filters and Predictors
5 Nonlinear Applications
6 Implementation Methods
7 Practical Considerations
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