Sampling Reconstruction Procedure for a Markovian Gaussian Nonstationary Process in the presence of Jitter

The present work provides the conditional mathematic expectation rule in order to analyze the sampling reconstruction procedure of a Nonstationary process in the presence of jitter. Beta function is studied as a representation of jitter distribution. The sampled process is Markovian Gaussian. The error reconstruction function is investigated for nonstationary regime.