摘要

In this paper, we first introduce a reproducing kernel subspace of L-p (X, rho, mu), where (X, rho, mu) is a homogeneous type space. Then we consider average sampling and reconstruction of signals in the reproducing kernel subspace of L-P (X, rho, mu), 1 <= p <= infinity. We show that signals in the reproducing kernel subspace of L-p(X, rho, mu) could be stably reconstructed from its average samples taken on a relatively-separated set with small gap. Exponential convergence is established for the iterative approximation-projection reconstruction algorithm.