Combination of Time-Frequency representations for Background Noise Suppresion
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Combination of Time-Frequency representations for Background Noise Suppresion
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
7
Pages from-to
93-99
Publisher name
Digitaldruck Pirrot GmbH
Place of publication
Německo
Event location
Budapest
Event date
May 23, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000404420000015