ON THE INFORMATIVE FREQUENCY PORTRAIT APPLICATION FOR THE EMPIRICAL DATA SEGMENTS LOCALIZATION
The problem of localization (location determination) in a registered numerical series of a given series of smaller dimensions often arises when processing empirical data of various nature. In this paper, an algorithm for the empirical data segments localization, which are represented by numerical series, is developed. The developed algorithm is based on the calculation of the similarity measure of the analyzed numerical series features. As a set of features characterizing a numerical series, it is proposed to use an informative frequency portrait of a segment of numerical data, for the calculation of which the corresponding relations based on a discrete cosine transformation are given in the work. The paper provides examples of calculating an informative frequency portrait for various numerical series (precedents). The results of computational experiments presented in this paper demonstrate the operability of the developed algorithm for estimating the localization of segments of numerical series based on the use of an informative frequency portrait with discrete cosine transformation.
Ursol D.V., Tikhonsky N.A., Chernomorets D.A., Bolgova E.V., Chernomorets A.A. On the informative frequency portrait application for the empirical data segments localization // Research result. Information technologies. – Т. 8, №3, 2023. – P. 11-18. DOI: 10.18413/2518-1092-2022-8-3-0-2
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