It is shown that for a wide class of signal processes and bounded g, the conditional expectation [pi](g, y) in the white noise filtering model is a C[infinity]-functional of the observations in the sense that [pi](g, y) and its Fréchet derivatives (which exist) are random variables on the quasicylindrical probability space on which the observation model is defined
For Wiener spaces conditional expectations and L2-martingales w.r.t. the natural ¯ltration have a na...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...
It is shown that for a wide class of signal processes and bounded g, the conditional expectation [pi...
AbstractIt is shown that for a wide class of signal processes and bounded g, the conditional expecta...
[[abstract]]In this paper it is show that the conditional expectation of a white noise functional $\...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
Abstract. We present a short survey of some very recent results on the finitely additive white noise...
AbstractThe variational representation of the conditional expectation X̂ of a Gaussian signal X give...
AbstractIn the nonlinear filtering model yt=ht(Xt)+et, 0⩽t⩽T, where (e1) is a finitely additive whit...
The theory of nonlinear filtering concerns the optimal estimation of a Markov signal in noisy observ...
It is shown that the nonlinear filter is a measure-valued Markov process on a finitely additive prob...
In the existing `direct¿ white noise theory of nonlinear filtering, the state process is still model...
Abstract. For Wiener spaces conditional expectations and L2-martingales w.r.t. the natural ¯ltration...
In the late seventies, Clark [In Communication Systems and Random Process Theory (Proc. 2nd NATO Adv...
For Wiener spaces conditional expectations and L2-martingales w.r.t. the natural ¯ltration have a na...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...
It is shown that for a wide class of signal processes and bounded g, the conditional expectation [pi...
AbstractIt is shown that for a wide class of signal processes and bounded g, the conditional expecta...
[[abstract]]In this paper it is show that the conditional expectation of a white noise functional $\...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
Abstract. We present a short survey of some very recent results on the finitely additive white noise...
AbstractThe variational representation of the conditional expectation X̂ of a Gaussian signal X give...
AbstractIn the nonlinear filtering model yt=ht(Xt)+et, 0⩽t⩽T, where (e1) is a finitely additive whit...
The theory of nonlinear filtering concerns the optimal estimation of a Markov signal in noisy observ...
It is shown that the nonlinear filter is a measure-valued Markov process on a finitely additive prob...
In the existing `direct¿ white noise theory of nonlinear filtering, the state process is still model...
Abstract. For Wiener spaces conditional expectations and L2-martingales w.r.t. the natural ¯ltration...
In the late seventies, Clark [In Communication Systems and Random Process Theory (Proc. 2nd NATO Adv...
For Wiener spaces conditional expectations and L2-martingales w.r.t. the natural ¯ltration have a na...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...