Generalized consistent sampling in abstract Hilbert spaces

We consider generalized consistent sampling and reconstruction processes in an abstract Hilbert space HH. We first study the consistent sampling in HH together with its performance analysis. We then study its generalization: partial consistency and quasi-consistency. We give complete characterizations for both of them. We also provide an iterative algorithm to compute the quasi-consistent approximation. An illustrative example is also included.