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Filtering with a limiter

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  • R. Liptser
  • P. Muzhikanov

Abstract

We consider a filtering problem for a Gaussian diffusion process observed via discrete-time samples corrupted by a non-Gaussian white noise. Combining the Goggin's result [2] on weak convergence for conditional expectation with diffusion approximation when a sampling step goes to zero we construct an asymptotic optimal filter. Our filter uses centered observations passed through a limiter. Being asymptotically equivalent to a similar filter without centering, it yields a better filtering accuracy in a prelimit case.

Suggested Citation

  • R. Liptser & P. Muzhikanov, 1998. "Filtering with a limiter," International Journal of Stochastic Analysis, Hindawi, vol. 11, pages 1-12, January.
  • Handle: RePEc:hin:jnijsa:517856
    DOI: 10.1155/S1048953398000240
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