Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
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 {Dluhá}", 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" }