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Bayesian Estimation and Tracking: A Practical Guide

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Throughout his career, Dr.

Index - Bayesian Estimation and Tracking: A Practical Guide [Book]

Haug has worked across diverse areas such as target tracking; signal and array processing and processor design; active and passive radar and sonar design; digital communications and coding theory; and time- frequency analysis. Publication Data Place of Publication. Show more Show less.

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    Bayesian Estimation and Tracking: A Practical Guide by Anton J. Haug (Hardback, 2012)

    Description A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Permissions Request permission to reuse content from this site. Preliminary Discussions 56 4. The Extended Kalman Filter 93 7. The Finite Difference Kalman Filter 8. The Unscented Kalman Filter 9.


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      • The Spherical Simplex Kalman Filter