Kalman-and-Bayesian-Filters-in-Python
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Curiosity about provided solution for Chapter 2, "Exercise: Write Generic Algorithm"
The provided solution has:
dx = dx + h * (residual) / dt
In my own solution, I wrote:
dx = (1 - h) * dx + h * (residual) / dt
Is the (1 - h) applied to the prediction unnecessary for updating dx?