有限新息率(Finite Rate of Innovation, FRI)框架是针对非带限信号进行采样与重构的有效理论，然而该方法对脉冲频谱有特殊要求，对于复杂脉冲波形，方法可能失效。针对该问题，该文基于指数再生核设计了一种FRI采样与重构系统，其突出优势是能够通过合理地设置再生核参数来增加对复杂波形的适应性。另一方面，考虑到系统稳定性和采样核的实现，再生核参数还需要满足额外的约束条件，文中具体分析了这些约束因素，并给出了设置方法。最后以线性调频相位编码混合波形为例进行了仿真，结果验证了该文方法的有效性。
The framework of Finite Rate of Innovation (FRI) is an effective theory for sampling and reconstruction of non-bandlimited signals. However, the method may be invalid when the pulse shape is complex, since it requires that the frequency spectrum of pulse must meet some special requirements. In this paper, a FRI sampling system based on exponential reproducing kernels is introduced. It has an outstanding advantage that the adaptability for pulse shape can be increased by adjusting the parameters of sampling kernel. On the other side, from implement and stability points of view, the parameters are constrained by extra factors, which are detailedly analyzed, and the guidance of choosing right parameters is given out. Simulations are conducted on hybrid LFM and phase code pulse streams, and the results verify the validity of the proposed method.