A new approach is suggested for the purposes of obtaining a proper character-distribution pattern of a particle set. Different methods of modeling the series of size characterization data are examined. Fourier analysis is applied to detail new parameters (features) for enhancing the differences between size distributions under different comminution operating conditions. Size distribution relating to a set of comminuted particles is processed as a signal (size vector) to extract the feature set. The results are compared to provide an insight into the effectiveness of each data analysis method. In particular, some of the Fourier series sine-coefficient values, relating to the size vector of a particle set, can represent the post-comminution size-distribution pattern. For example, size distribution following cryogenic comminution under different temperature conditions can be modeled using a second-order equation function of four selected Fourier analysis sine coefficients.