Application of time-frequency analysis to non-stationary and multicomponent signals
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Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Sivut | 443-459 |
| Sivumäärä | 17 |
| Julkaisu | Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika) |
| Vuosikerta | 76 |
| Numero | 5 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2017 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli |
Tiivistelmä
In this paper, four different approaches to time-frequency analysis performed by using parametrical and non-parametrical bispectral estimation, as well as the Wigner-Ville and Wigner-bispectrum techniques are considered, studied and compared between each other. Frequency resolution and noise immunity have been investigated for different time-frequency distributions by the computer simulations. Results of computer simulations are represented both for multi-component signal models and radar backscattering signals experimentally recorded for moving radar object in the form of walking human. It is demonstrated that the parametrical bispectrum-based technique provides smallest distortions in time-frequency distributions for the non-stationary multicomponent signals though, at the same time, it inferiors a few to the Wigner-Ville distribution in noise immunity.