  We present the G-MAPLE (Generalised Modal Analysis from the Poles of the
Laplace Expansion) software that allows decomposing data depending on a single
parameter (such as time series data) into a set of exponential functions having
complex amplitudes and arguments. The novelty is that G-MAPLE determines the
unknown number of exponentials in the data along with the corresponding complex
amplitudes and arguments.
