Some Recent Results in Finitely Additive White Noise Theory

نویسنده

  • RAVI MAZUMDAR
چکیده

We present a short survey of some very recent results on the finitely additive white noise theory. We discuss the Markov property of the solution of a stochastic differential equation driven directly by a white noise, study the Radon-Nikodym derivative of the measure induced by nonlinear transformation on a Hilbert space with respect to the canonical Gauss measure thereon and obtain a representation for nonlinear filter maps. Mathematics Subject Classifications (1991). 60H10, 93El l .

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

White Noise Theory of Robust Nonlinear Filtering with Correlated State and Observation Noises

In the existing “direct” white noise theory of nonlinear filtering, the state process is still modelled as a Markov process satisfying an It6 stochastic differential equation, while a “finitely additive” white noise is used to model the observation noise. We remove this asymmetry by modelling the state process as the solution of a (stochastic) differential equation with a “finitely additive” wh...

متن کامل

Nonlinear smoothing for random fields

Stochastic nonlinear elliptic partial differential equations with white noise disturbances are studied in the countably additive measure set up. Introducing the Onsager-Machlup function to the system model, the smoothing problem for maximizing the modified likelihood functional is solved and the explicit form of nonlinear smoother is presented in the finitely additive observation noise set up. ...

متن کامل

Uniqueness of solution to the Kolmogorov’s forward equation: Applications to White Noise Theory of Filtering

We consider a signal process X taking values in a complete, separable metric space E. X is assumed to be a Markov process charachterized via the martingale problem for an operator A. In the context of the finitely additive white noise theory of filtering, we show that the optimal filter Γt(y) is the unique solution of the analogue of the Zakai equation for every y, not necessarily continuous. T...

متن کامل

On the Application of Recent Results in Statistical Decision and Estimation Theory to Perceptual Filtering of Noisy Speech Signals

This paper combines perceptual filtering to recent results in statistical decision and estimation theory in order to denoise speech signals corrupted by additive and independent white Gaussian noise. The resulting technique requires no Voice Activity Detector and its performance is significantly close to that obtained when the noise standard deviation is known and the masking threshold computed...

متن کامل

Uniqueness of Solution to the Kolmogorov Forward Equation: Applications to White Noise Theory of Filtering

We consider a signal process X taking values in a complete, separable metric space E. X is assumed to be a Markov process charachterized via the martingale problem for an operator A. In the context of the finitely additive white noise theory of filtering, we show that the optimal filter Γt(y) is the unique solution of the analogue of the Zakai equation for every y, not necessarily continuous. T...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004