Predictive algorithms in dynamical sampling for burst-like forcing terms

In this paper, we consider the problem of recovery a burst-like forcing term in an initial value (IVP) framework dynamical sampling. We introduce idea using two particular classes samplers that allow one to predict solution IVP over time interval without burst. This leads different algorithms stably and accurately approximate even presence measurement acquisition error large background source.