Pole recovery from noisy data on imaginary axis

Abstract

This note proposes an algorithm for identifying the poles and residues of a meromorphic function from its noisy values on the imaginary axis. The algorithm uses Möbius transform and Prony's method in the frequency domain. Numerical results are provided to demonstrate the performance of the algorithm.