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[](https://github.com/FrancoisCarouge/Kalman/actions/workflows/verify_test_windows-2019_msvc.yml)
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[](https://github.com/FrancoisCarouge/Kalman/actions/workflows/verify_test_windows-2019.yml)
@@ -299,6 +293,7 @@ In theory there is no difference between theory and practice, while in practice
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Design, development, and testing uncovered unexpected facets of the projects:
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- The filter's state, output, and input column vectors should be type template parameters to allow the filter to participate in full-compile time verification of unit and index-type safeties.
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- There exists Kalman filters with hundreds of state variables.
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## Performance
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@@ -314,6 +309,7 @@ Awesome resources to learn about Kalman filters:
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- [Kalman and Bayesian Filters in Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) by Roger Labbe.
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- [How Kalman Filters Work](https://www.anuncommonlab.com/articles/how-kalman-filters-work) by Tucker McClure of An Uncommon Lab.
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- [Wikipedia Kalman filter](https://en.wikipedia.org/wiki/Kalman_filter) by Wikipedia, the free encyclopedia.
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- [Applications of Kalman Filtering in Aerospace 1960 to the Present](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5466132) by Mohinder S. Grewal and Angus P. Andrews. IEEE 2010.
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