Detail publikace

Wavelet Significance Testing with Respect to GWN Background: Monte Carlo Simulation Usage

KLEJMOVÁ, E. MALACH, T. POMĚNKOVÁ, J.

Originální název

Wavelet Significance Testing with Respect to GWN Background: Monte Carlo Simulation Usage

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper deals with significance testing of wavelet coefficients. We investigate the test of wavelet power spectrum with respect to the Gaussian white noise background spectrum from two perspectives of calculating significance level: with the use of chi-square distribution and with the use of Monte Carlo simulation. Our experiment is performed on a special kind of synthetic signal in which the frequency component is changing during time. We investigate the level of variance of the signal and the significance risk. We describe the advantages and disadvantages of both approaches and formulate recommendations for using time-frequency testing.

Klíčová slova

spectral analysis, continuous wavelet transform, significance tests

Autoři

KLEJMOVÁ, E.; MALACH, T.; POMĚNKOVÁ, J.

Vydáno

20. 4. 2017

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

Brno

ISBN

978-1-5090-4591-4

Kniha

Proceedings of 27th international conference Radioelektronika 2017

Strany od

187

Strany do

190

Strany počet

4

URL

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7937593

BibTex

@inproceedings{BUT134460,
  author="Eva {Klejmová} and Tobiáš {Malach} and Jitka {Poměnková}",
  title="Wavelet Significance Testing with Respect to GWN Background: Monte Carlo Simulation Usage",
  booktitle="Proceedings of 27th international conference Radioelektronika 2017",
  year="2017",
  pages="187--190",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Brno",
  doi="10.1109/RADIOELEK.2017.7937593",
  isbn="978-1-5090-4591-4",
  url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7937593"
}