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

Hankel Singular Value Decomposition as a method of preprocessing the Magnetic Resonance Spectroscopy