I read Gaussian and Cauchy distributions as inputs, but can you add arbitrary distributions other than those two examples, and expect the filter to yield artifacts from those distributions? Naively, I'm thinking of different coloured noise as inputs, and what kind of artifacts a Kalman filter would produce over them.