arXiv · 2111.14321
Random average sampling and reconstruction in shift-invariant subspaces of mixed Lebesgue spaces
Abstract
In this paper, the problem of reconstruction of signals in mixed Lebesgue spaces from their random average samples has been studied. Probabilistic sampling inequalities for certain subsets of shift-invariant spaces have been derived. It is shown that the probabilities increase to one when the sample size increases. Further, explicit reconstruction formulae for signals in these subsets have been obtained for which the numerical simulations have also been performed.
Explore related subjects
Keep this discovery
Ankush Kumar Garg, S. Arati, P. Devaraj. 2021-11-29. Random average sampling and reconstruction in shift-invariant subspaces of mixed Lebesgue spaces. https://arxiv.org/abs/2111.14321
Cite the original work for its findings. Save a collection to share your selection of sources.