Detail publikace

Comparison of parametric and non parametric methods for signal time-frequency description

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

KLEJMOVÁ, E.

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

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"
}