Random Sequences Estimation by Using Regression and Wavelets
The problem decision for random sequences estimation by using regression analysis and wavelets is given. The regression and wavelet based estimation algorithm is described. It is shown that the Bayesian and the regression and wavelet based algorithms provide estimates with the identical accuracy. The example for scalar estimation problem is considered.
Keywords: optimal estimation, random sequences, regression, wavelet, accuracy