Reconstruction of realizations of Gaussian processes from readings of the process and linear transformations of it

An algorithm is investigated for reconstructing realizations of Gaussian processes with an arbitrary correlation function from readings of the realization itself and linear transformations of it; integration, differentiation and time shift operations are used as the latter; the reconstruction is carried out using the conditional mean function and the error of the reconstruction is estimated by the conditional variance function.