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KLEJMOVÁ, E.
Originální název
Comparison of parametric and non parametric methods for signal time-frequency description
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper deals with comparing methods for time-frequency analysis such as time-frequency Fourier transform representation, multiple window method using Slepian sequences, time-frequency varying autoregressive process estimation and continuous wavelet analysis. To test their performance we apply these methods first on a simulated signal then on real recorded data from a metal plate acceleration by detonation products. For the autoregressive process we perform optimization of the lag order. The results are presented in graphical form and briefly discussed. Taking these results into account, combining the autoregressive process and wavelet transform is suggested.
Klíčová slova
time-frequency analysis, spectral analysis, spectrogram, Fourier transform, multiple window method, AR process, lag order, continuous wavelet transform
Autoři
Rok RIV
2015
Vydáno
21. 4. 2015
Nakladatel
University of Pardubice
Místo
Pardubice
ISBN
978-1-4799-8117-5
Kniha
Proceedings of 25th international conference Radioelektronika 2015
Číslo edice
1
ISSN
NEUVEDENO
Strany od
272
Strany do
275
Strany počet
4
URL
https://ieeexplore.ieee.org/document/7129030
BibTex
@inproceedings{BUT114346, author="Eva {Klejmová}", title="Comparison of parametric and non parametric methods for signal time-frequency description", booktitle="Proceedings of 25th international conference Radioelektronika 2015", year="2015", number="1", pages="272--275", publisher="University of Pardubice", address="Pardubice", doi="10.1109/RADIOELEK.2015.7129030", isbn="978-1-4799-8117-5", url="https://ieeexplore.ieee.org/document/7129030" }