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Nonlinear filtering for discrete-time linear systems with non-Gaussian initial data

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2 Author(s)
C. D. de Benito ; Dept. of Syst. Eng., Case Western Reserve Univ., Cleveland, OH, USA ; K. A. Loparo

The optimal minimum mean-square error filtering problem is discussed for a linear system with non-Gaussian initial distribution. An input/output realization is derived using an absolutely continuous change of probability measure. A representation result is presented which facilitates the derivation of optimal filter realization

Published in:

IEEE Transactions on Automatic Control  (Volume:34 ,  Issue: 7 )