Combination of Time-Frequency representations for Background Noise Suppresion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123159" target="_blank" >RIV/00216305:26220/17:PU123159 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0093-fes_ECMS2017_0076.pdf" target="_blank" >http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0093-fes_ECMS2017_0076.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Combination of Time-Frequency representations for Background Noise Suppresion

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Combination of Time-Frequency representations for Background Noise Suppresion

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings 31st European Conference on Moelling and Simulation ECMS 2017

ISBN

978-0-9932440-4-9

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

93-99

Název nakladatele

Digitaldruck Pirrot GmbH

Místo vydání

Německo

Místo konání akce

Budapest

Datum konání akce

23. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000404420000015