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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Comparative Study Of Time-Frequency Analysis Approaches With

Application To Economic Indicators

Authors:

Jiri Blumenstein, Jitka Poměnková, Roman Maršálek

Published in:

 

(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 

 

ISBN: 978-0-9564944-4-3

 

26th European Conference on Modelling and Simulation,

Shaping reality through simulation

Koblenz, Germany, May 29 – June 1 2012

 

Citation format:

Blumenstein, J., Pomenkova, J., & Marsalek, R. (2012). Comparative Study Of Time-Frequency Analysis Approaches With Application To Economic Indicators. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 291-297). European Council for Modeling and Simulation. doi:10.7148/2012-0291-0297

DOI:

http://dx.doi.org/10.7148/2012-0291-0297

Abstract:

Presented paper deals with comparison of various meth- ods for time-frequency representation of a signal with time-varying behavior. We choose methods such as wavelet analysis, multiple window method using Slepian sequences, time-frequency varying autoregressive pro- cess estimation and time-frequency Fourier transform representation (periodogram). We apply these methods first on the simple simulated artificial signal and we as- sess their performance. Then we proceed with applica- tion on the real data which is monthly data of the in- dustry production index of European Union in the pe- riod 1990/M1-2011/M11. During the evaluation we fo- cus on the results with respect to the time of global crisis. The results of the experiments are represented in the the graphical form and briefly discussed.

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