  In this work, sample-based observability of linear discrete-time systems is
studied. That is, we consider the case where the system output measurements are
not available at every time instance. It is shown that some discrete-time
systems exhibit particular behaviors that lead to pathological sampling.
Depending on the characteristics of the system, different sampling schemes are
developed that allow the system state to be reconstructed.
