  The signal resulting from magnetic resonance spectroscopy is occupied by
noises and irregularities so in the further analysis preprocessing techniques
have to be introduced. The main idea of the paper is to develop a model of a
signal as a sum of harmonics and to find its parameters. Such an approach is
based on singular value decomposition applied to the data arranged in the
Hankel matrix (HSVD) and can be used in each step of preprocessing techniques.
For that purpose a method has was tested on real phantom data.
