Abstract: This work extends a matrix-based numerical methodology to cover fully canonical generalized Chevyshev (GC) transfer functions by reconfiguring canonical filter topologies into dangling ...
Abstract: In probabilistic state inference, we seek to estimate the state of an (autonomous) agent from noisy observations. It can be shown that, under certain assumptions, finding the estimate is ...
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