Wei, XiaoyaoXiaoyaoWeiTHIERRY BLUDragotti, Pier LuigiPier LuigiDragotti2024-03-072024-03-072012-11-269781467321938https://scholars.lib.ntu.edu.tw/handle/123456789/640529In this paper, we investigate the problem of retrieving the innovation parameters (time and amplitude) of a stream of Diracs from non-uniform samples taken with a novel kernel (a hyperbolic secant). We devise a non-iterative, exact algorithm that allows perfect reconstruction of 2K innovations from as few as 2K non-uniform samples. We also investigate noise issues and compute the Cramér-Rao lower bounds for this problem. A simple total least-squares extension of the algorithm proves to be efficient in reconstructing the location of a single Dirac from noisy measurements. © 2012 IEEE.Cramér-Rao Bounds | finite rate of innovation | hyperbolic secant function | non-uniform | Signal samplingconference paper10.1109/ICSPCC.2012.63356742-s2.0-84869445231https://api.elsevier.com/content/abstract/scopus_id/84869445231