Kalman-and-Bayesian-Filters-in-Python
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Chapter 6: making Q very large
In the last paragraph it says "if you make it (Q) too large the filter will fail to respond quickly to changes". This is wrong, if the process covariance is large then we will listen more to the measurements making it quicker to changes.