In this paper, we introduce a computational framework for recovering high-resolution approximation of an unknown function from its low-resolution indirect measurements as well training observations by merging the frameworks generalized sampling and functional principal component analysis. particular, increase signal resolution via data-driven approach, which models interest realization random f...