najoNanosystems: Physics, Chemistry, MathematicsНаносистемы: физика, химия, математика2220-80542305-7971Университет ИТМОnajo-1021Research ArticlePHYSICSФИЗИКАComparison of wavelet transform and Fourier transform applied to analysis of non-stationary processesDrozdovA.av@biophys.ruPomortsevI.

St. Petersburg

TyutyukinK.

St. Petersburg

BaloshinY.

St. Petersburg

baloshin1940@mail.ruInstitute for Analytical Instrumentation Russian Academy of ScienceRussian FederationITMO UniversityRussian FederationSt. Petersburg State University, Physical facultyRussian Federation20141508202553363373Copyright © Drozdov A., Pomortsev I., Tyutyukin K., Baloshin Y., 20252025Drozdov A., Pomortsev I., Tyutyukin K., Baloshin Y.Drozdov A., Pomortsev I., Tyutyukin K., Baloshin Y.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://nanojournal.ifmo.ru/jour/article/view/1021

This article contains a comparison of three data analysis methods’ informativity: wavelet transform, Fourier transform and short-time Fourier transform. This work contains an attempt to find the most sensitive method for the detection of quasiharmonic components in experimental data that have pronounced non-stationary behavior.

Results of high-frequency near-field sounding, IR-spectroscopy and NMR analysis of water, and also model harmonic signal were used as non-stationary processes for analysis.

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The authors declare that there are no conflicts of interest present.