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KLEJMOVÁ, E.
Original Title
Comparison of parametric and non parametric methods for signal time-frequency description
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
time-frequency analysis, spectral analysis, spectrogram, Fourier transform, multiple window method, AR process, lag order, continuous wavelet transform
Key words in English
Authors
RIV year
2016
Released
21.04.2015
Publisher
University of Pardubice
Location
Pardubice
ISBN
978-1-4799-8117-5
Book
Proceedings of 25th international conference Radioelektronika 2015
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" }