Detail publikace

Combination of Time-Frequency representations for Background Noise Suppresion

KLEJMOVÁ, E. POMĚNKOVÁ, J. BLUMENSTEIN, J.

Originální název

Combination of Time-Frequency representations for Background Noise Suppresion

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The aim of the paper is to propose approach for enhancement of time-frequency representation leading to the background noise suppression. The approach is based on combination of continuous wavelet analysis, time-varying autoregressive process and short time Fourier transform. By such combination we make the identification of important areas in the time-frequency representation easier. The proposed method is an alternative approach to significance tests which can be problematic in some cases. The performance of methods is presented on the gross domestic product of the United Kingdom and Group of 7. The results show that in the UK, oil crisis has a bigger impact compared to financial crisis, while from the perspectives of G7 countries, the impact of financial crisis was stronger. The obtained results can be also used for consequent econometric analysis which identify dependencies, relations, bilateral causalities or other economic aspects.

Klíčová slova

continuous wavelet transform, time-varying autoregressive process, short time Fourier transform, time-frequency representation, noise suppression

Autoři

KLEJMOVÁ, E.; POMĚNKOVÁ, J.; BLUMENSTEIN, J.

Vydáno

23. 5. 2017

Nakladatel

Digitaldruck Pirrot GmbH

Místo

Německo

ISBN

978-0-9932440-4-9

Kniha

Proceedings 31st European Conference on Moelling and Simulation ECMS 2017

Strany od

93

Strany do

99

Strany počet

7

URL

http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0093-fes_ECMS2017_0076.pdf

BibTex

@inproceedings{BUT134461,
  author="Eva {Klejmová} and Jitka {Poměnková} and Jiří {Blumenstein}",
  title="Combination of Time-Frequency representations for Background Noise Suppresion",
  booktitle="Proceedings 31st European Conference on Moelling and Simulation ECMS 2017",
  year="2017",
  pages="93--99",
  publisher="Digitaldruck Pirrot GmbH",
  address="Německo",
  isbn="978-0-9932440-4-9",
  url="http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0093-fes_ECMS2017_0076.pdf"
}