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

翻译：在本文中,我们考虑在动态抽样框架内,在初始价值问题(IVP)中恢复类似于爆裂的强迫性术语的问题,我们提出一种想法,即使用两种特定的取样器类别,允许一种在不发生爆裂的一段时间内预测静脉压的解决方案。这导致两种不同的算法,即使存在测量获取错误和大量背景来源,也能够刺穿和准确地接近类似于爆裂的强迫性术语。