The quantization in time of sample functions of differentiable Gaussian processes

In this paper algorithms of approximation of two classes of Gaussian stationary processes are suggested, when it is supposed that the sample functions are differentiable one time or two. In both cases asymptotic formulas for the approximating regression processes and for the variances of the processes of deviations are obtained. These results make possible to get recommendations on choosing the optimal step of quantization.