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Adam Attarian

North Carolina State University

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grad student at ncsu. i work on inverse problems, filtering and estimation, and a little bit of control theory.

my webpage is at http://www4.ncsu.edu/~arattari/


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Comments and Ratings by Adam Attarian View all
Updated File Comments Rating
08 Apr 2009 Automatic Differentiation for Matlab This package provides automatic first and second derivatives for vector-functions and matrices. Author: Martin Fink

09 Nov 2008 Learning the Unscented Kalman Filter An implementation of Unscented Kalman Filter for nonlinear state estimation. Author: Yi Cao


While I understand it is no longer necessary to augment the states when you consider additive noise, it is also apparent that you then only have to use the first L weights, and not the 2L+1 weights. Can you comment on this? Is anything lost or gained by using L weights or 2L+1 weights in the additive noise case?

I ask only because I saw degraded performance when I switched from using all 2L+1 weights to using only the first L weights in my program (I am not augmenting the states).

NC State Univ

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