The invention provides a self-adaptive sampling
recovery method based on FRI and relates to the field of information and communication technology. The self-adaptive sampling
recovery method aims at reducing the number of sampling points and improving sampling efficiency, thereby improving
recovery precision of signals. According to the method, the number of sampling points can be intelligently selected according to specific application scenarios, and the maximum
signal recovery precision can be obtained by means of the least number of the points. Under certain application scenarios such as military guided
missile navigation signals, the requirement for precision of signals is high, and at the moment, a larger number of sampling points can be selected through an
algorithm so that the maximum recovery precision can be obtained. But in other application scenarios such as interphones for civil use, the requirement for signals is not high, and at the moment, a smaller number of sampling points can be selected through a self-adaptive recovery
algorithm so that high sampling efficiency can be guaranteed. Meanwhile, the number of kinds of signals which can be processed according to the FRI theory can be increased through the self-adaptive sampling
recovery method, so the self-adaptive sampling
recovery method can be used for handling not only discrete Dirac flow but also random time continuous signals. The self-adaptive sampling
recovery method is applied to self-adaptive sampling recovery occasions of signals.