To be introduced of different adaptive filtering methods and to improve the usage qualification in estimator design. Analyzes of the performances and the comparions of these methods and of the optimal design methods will be investigated.

Mean Square Estimation Techniques, (Linear MSE estimation, optimal estimation), Filtering the Random Processes, Moving Average (MA), Auto-regressive (AR) and ARMA processes, Wiener Filtering (Solving Wiener-Hopf Equations), FIR, IIR, Causal IIR Wiener Filters, Iterative methods for the solution of Wiener-Hopf Equations, Adaptive Filters, LMS Filter, FIR, IIR , Normalized and other variations, RLS, Kalman Filter, Applications