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The article deals with a non‐linear method of correlation function and spectrum power density estimation for which analogies of A. Shuster's periodic diagrams have been used. The effect of frequency expansion particularly compensates well‐known aliasing frequency effect. It was shown that if different properties of a random process are taking into account, it will allow to get the estimation of spectrum power density, the order of decrease of which corresponds to these differential properties.doi:10.3846/16487788.2006.9635923 fatcat:7glcvziwtrclhpr2vdwpjxmbxe