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ŠEBESTA, V. MARŠÁLEK, R. POMĚNKOVÁ, J.
Original Title
The Modified Empirical Mode Decomposition method for analysing the cyclical behavior of time series
Type
conference paper
Language
English
Original Abstract
This paper is devoted to the analysis of economic time series using the Empirical Mode Decomposition (EMD) method. This method decomposes the analyzed time series into a small set of narrow-band components (modes) that fully represent the original time series. The modifed EMD method that eliminates excessive changes of individual mode periods is proposed and evaluated on the industrial production data of EU15. In contrast to other decomposition methods, like the singular value decomposition, the empirical mode decomposition can describe the time-variation of the period of individual components.
Keywords
empirical mode decomposition; instantaneous frequency; cyclical behavior
Authors
ŠEBESTA, V.; MARŠÁLEK, R.; POMĚNKOVÁ, J.
RIV year
2013
Released
24. 5. 2013
Publisher
ECMS
Location
Alesund, Norway
ISBN
978-0-9564944-6-7
Book
Proceedings 27th European Conference on Modelling and Simulation ECMS 2013
Pages from
288
Pages to
292
Pages count
5
URL
https://www.scs-europe.net/dlib/2013/2013-0288.htm
BibTex
@inproceedings{BUT102616, author="Vladimír {Šebesta} and Roman {Maršálek} and Jitka {Poměnková}", title="The Modified Empirical Mode Decomposition method for analysing the cyclical behavior of time series", booktitle="Proceedings 27th European Conference on Modelling and Simulation ECMS 2013", year="2013", pages="288--292", publisher="ECMS", address="Alesund, Norway", doi="10.7148/2013-0288", isbn="978-0-9564944-6-7", url="https://www.scs-europe.net/dlib/2013/2013-0288.htm" }