The analysis of missing samples in signals sparse in the hermite transform domain

The influence of missing samples in signals which exhibit sparsity in the domain of Hermite transform is analyzed. The study provides theoretical concepts for the efficient reconstruction of the signals with missing samples. Single component signals are analyzed, and the main results guarantee further generalization of the presented concepts to the case of multicomponent signals. The theoretical contributions are confirmed through several numerical examples.