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Contents: Basic Probability.- Minimum Variance Estimation - How the Theory Fits.- The Maximum Entropy Principle.- Adjoints, Projections, Pseudoinverses.- Linear Minimum Variance Estimation.- Recursive Linear Estimation (Bayesian Estimation).- The Discrete Kalman Filter.- The Linear Quadratic Tracking Problem.- Fixed Interval Smoothing.- Appendices A-G.- Bibliography.- Index.
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| $109.08 | Digital |
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Add Estimation, Control, and the Discrete Kalman Filter, This is a one semester text for students in mathematics, engineering, and statistics. Most of the work that has been done on Kalman filter was done outside of the mathematics and statistics communities, and in the spirit of true academic parochialism was,, Estimation, Control, and the Discrete Kalman Filter to the inventory that you are selling on WonderClubX
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Add Estimation, Control, and the Discrete Kalman Filter, This is a one semester text for students in mathematics, engineering, and statistics. Most of the work that has been done on Kalman filter was done outside of the mathematics and statistics communities, and in the spirit of true academic parochialism was,, Estimation, Control, and the Discrete Kalman Filter to your collection on WonderClub |