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Mathematical Description of Random Signals.
Response of Linear Systems to Random Inputs.
The Discrete Kalman Filter, State-Space Modeling, and Simulation.
Prediction, Applications, and More Basics on Discrete Kalman Filtering.
The Continuous Kalman Filter.
Linearization and Additional Intermediate-Level Topics on Applied Kalman Filtering.
More on Modeling: Integration of Noninertial Measurements Into INS.
The Global Positioning System: A Case Study.