Publication detail

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

KLEJMOVÁ, E.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

time-frequency analysis, spectral analysis, spectrogram, Fourier transform, multiple window method, AR process, lag order, continuous wavelet transform

Authors

KLEJMOVÁ, E.

RIV year

2015

Released

21. 4. 2015

Publisher

University of Pardubice

Location

Pardubice

ISBN

978-1-4799-8117-5

Book

Proceedings of 25th international conference Radioelektronika 2015

Edition number

1

ISBN

NEUVEDENO

Pages from

272

Pages to

275

Pages count

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"
}