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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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The standard covariance update of condition(): \( P - K \Sigma_{xy}^T \), which is \( (I - K H) P \) written without \( H \). More...
#include <EmrysFilter/Models/Condition.h>
The standard covariance update of condition(): \( P - K \Sigma_{xy}^T \), which is \( (I - K H) P \) written without \( H \).
The cheapest form, and the default. Rounding leaves it slightly asymmetric, and with a measurement much more precise than the prior it can lose positive definiteness.
The form of Kalman (1960), written as the conditioning of the joint Gaussian of input and output (Särkkä (2013), §6.1).