  The paper considers a symbolic approach to Prony's method in several
variables and its close connection to multivariate polynomial interpolation.
Based on the concept of universal interpolation that can be seen as a weak
generalization of univariate Chebychev systems, we can give estimates on the
minimal number of evaluations needed to solve Prony's problem.
