Comparison of wavelet transform and Fourier transform applied to analysis of non-stationary processes
| Autor: | DROZDOV A., POMORTSEV I., TYUTYUKIN K., BALOSHIN Y. |
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| Jazyk: | ruština |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Наносистемы: физика, химия, математика. |
| ISSN: | 2305-7971 2220-8054 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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