Jianbo Gao
Technische Universitaet Muenchen, Munich, Germany
Yang Ji
German Aerospace Center, Wessling, Germany
Johann Bals
German Aerospace Center, Wessling, Germany
Ralph Kennel
Technische Universitaet Muenchen, Munich, Germany
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http://dx.doi.org/10.3384/ecp140961123Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Linköping Electronic Conference Proceedings 96:117, p. 1123-1130
Published: 2014-03-10
ISBN: 978-91-7519-380-9
ISSN: 1650-3686 (print), 1650-3740 (online)
Wavelet analysis is being widely used in different fields for signal processing to increase efficiency and flexibility. A wavelet library has been a standard component in many simulation programs. However; wavelet analysis has not yet been included in Modelica as a standard component. To fill this blank; a comprehensive wavelet library has been developed for Modelica. This library includes fifteen commonly used wavelet families. It can carry out continuous transform; forward and inverse discrete transforms; and multi-level decomposition and reconstruction in one-dimensional space. In addition; special application tools for multi-resolution analysis and wavelet denoising are provided. Moreover; some examples are given to provide the users a quick start point to build up their own algorithms. This library was programmed and tested according to the Modelica language specification 3.2 under the Dymola platform version 2013. The test results prove the functionalities of the library.
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