Time-Frequency Analysis of Non-Stationary Signals

被引：0
|
作者：
Pukhova, Valentina M. [1 ]
Kustov, Taras V. [2 ]
Ferrini, Gabriele [3 ]
机构：
[1] St Petersburg Electrotech Univ LETI, Dept Quantum & Opt Elect, St Petersburg, Russia
[2] St Petersburg Electrotech Univ LETI, Dept Environm Engn, St Petersburg, Russia
[3] Univ Cattolica Sacro Cuore, Dipartimento Matemat & Fis, Brescia, Italy
来源：
PROCEEDINGS OF THE 2018 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2018年
关键词：
wavelet transform; Fourier transform; time-frequency analysis; COMPUTER-GRAPHICS; WAVELETS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Signals consisting of multiple frequencies and changing their amplitude while propagating in time generate in many experiments. The analysis of such signals requires special methodological approach and mathematical apparatus, which allows ascertain the main features of the signal by a signal transformation. The general method is to apply Fourier transform analysis. However, Fourier transform analysis provides actual spectra for stationary signals alone. For signals changing their characteristics over time the method of analysis that presents the signal changes in both time and frequency is required, and one of the most valid methods is wavelet transform. The present work is aimed to show the advantages of wavelet transform in comparison with FT, when signals changing their characteristics over time is necessary to investigate.
引用
收藏
页码：1141 / 1145
页数：5
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