  Dynamic Mode Decomposition (DMD) and its extensions (EDMD) have been at the
forefront of data-based approaches to Koopman operators. Most (E)DMD algorithms
assume that the entire state is sampled at a uniform sampling rate. In this
paper, we provide an algorithm where the entire state is not uniformly sampled,
with individual components of the states measured at individual (but known)
sampling rates. We propose a two-step DMD algorithm where the first step
performs Hankel DMD on individual state components to estimate them at
specified time instants. With the entire state reconstructed at the same time
instants, we compute the (E)DMD for the system with the estimated data in the
second step.
