On Minimax Filtering of Functions in $L_2$

The article considers the problem of filtering of nonrandom functions $s(t)\in\sum_T$ in white noise. It is assumed that class $\sum_T$ is made up of all possible responses of a linear time-optimal filter. The minimax quadratic risk and minimax estimate for $s(T)$ are obtained in this case.