Mr. Fegur
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 2d awarded Yearling Dec 2 answered Extended Kalman Filter destablizing Nov 23 comment Proof of Gauss-Markov theorem It just means that it is unbiased no matter what $\beta$ is. That's all. For example, it's not simply true if $\beta$ is vector of all ones, or all zeros, it's true for all $\beta \in \mathbb{R}^{p}$. Nov 23 answered Proof of Gauss-Markov theorem Aug 19 answered Help with Gram-Schmidt Orthogonalization Aug 18 comment Kalman filter a posteriori estimate covariance matrix I think there is a cross term missing in the third step of method two. Don't work with cov, and instead expand it and work with the expected value. Aug 7 awarded Informed Aug 3 answered why should add one column using Moore-Penrose pseudoinverse Aug 3 accepted Numerical integration of function where the input data is not sampled uniformly in time Aug 3 awarded Curious Aug 2 accepted What does the subspace of SO(3) corresponding to zero yaw look like Aug 2 comment What does the subspace of SO(3) corresponding to zero yaw look like Ah I see now. Thank you. I used your method to look at the what the Quaternions look like in terms of Euler angles (shown here en.wikipedia.org/wiki/…), and it looks like for the yaw equals zero case, I can write one of the elements as a function of the others, for example q1=q3*q2/(-q4). I don't know if this is significant but I will keep looking. Aug 2 comment What does the subspace of SO(3) corresponding to zero yaw look like Hi Joriki. Thanks for answering my question. I understand that the 1-2cos(theta) term comes from the trace of the general rotation matrix, but where does the second equation come from? Aug 2 asked What does the subspace of SO(3) corresponding to zero yaw look like Jul 13 answered How to treat non-identifiable states in Kalman filtering/dynamic linear models? Jul 13 revised Derive State Transition Matrix from an unscented transformation deleted 93 characters in body Jul 13 answered Derive State Transition Matrix from an unscented transformation Jul 10 comment Derive State Transition Matrix from an unscented transformation By state transition matrix, do you mean the Jacobian calculated from the nonlinear model of the system whose states you are trying to estimate? Jun 30 comment kalman filter matrices You need to be more specific about what you want to do with the light sensors? Do you want to smooth them out? Do you want to estimate range? Jun 30 answered How does Kalman Filter provide information regarding the accuracy of the current estimate?