Publication detail

Combination of Time-Frequency representations for Background Noise Suppresion

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

Original Title

Combination of Time-Frequency representations for Background Noise Suppresion

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

23. 5. 2017

Publisher

Digitaldruck Pirrot GmbH

Location

Německo

ISBN

978-0-9932440-4-9

Book

Proceedings 31st European Conference on Moelling and Simulation ECMS 2017

Pages from

93

Pages to

99

Pages count

7

URL

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

BibTex

@inproceedings{BUT134461,
  author="Eva {Klejmová} and Jitka {Dluhá} 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"
}