Realizations reconstruction of non-stationary random processes by a set of discrete readings

Statistical description of the discretization procedure (reconstruction for non-stationary Gaussian random processes) is carried out. The reconstructing functions and dependences of reconstruction errors are studied for some examples. It is shown that the reconstruction error functions governed by the process correlation function acquire such specific features as asymmetry and multimodality at a discretization interval.