Reconstruction of streams of Diracs based on the state space method

The last decade, some signals with finite rate of innovation have been proved to be recoverable from the samples of their filtered versions. Different contributions have also been made to reduce the reconstruction error with noisy samples. In this work a new reconstruction method for aperiodic streams of Diracs is introduced, which reduces the computational problems arisen in other methods in the literature.