Reproducing kernel structure and sampling on time-warped Kramer spaces

Given a signal space of functions on the real line, a time-warped signal space consists of all signals that can be formed by composition of signals in the original space with an invertible real-valued function. Clark's theorem shows that signals formed by warping ban-dlimited signals admit formulae for reconstruction from samples. This paper considers time warping of more general signal spaces in which Kramer's generalized sampling theorem applies and observes that such spaces admit sampling and reconstruction formulae. This observation motivates the question of whether Kramer's theorem applies directly to the warped space, which is answered aarmatively by introduction of a suitable reproducing kernel Hilbert space structure. This result generalizes one of Zeevi, who pointed out that Clark's theorem is a consequence of Kramer's.