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The Sampling-Reconstruction Procedure (SRP) of Gaussian processes is investigated in this paper on the basis of the conditional mean rule. The main advantage of this methodology is that it can estimate the reconstruction error on the whole time domain, so we have the possibility to evaluate this error in any point of interest of the analyzed process. The most important points are them, where maximum...
The reconstruction error estimation of the Gaussian Markov process in the presence of jitter is investigated in this paper, taking into account mainly two samples in the analysis. Two different situations are considered. In the first situation, the position of the first sample does not have jitter, but it exists in the second sample. In the second condition, the two samples have the presence of jitter...
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