Multicomponent decomposition of a time-varying acoustic Doppler signal generated by a passing railway vehicle using Complex Shifted Morlet Wavelets
作者： Yiakopoulos Christos , Maczak Jedrzej , Rodopoulos Konstantinos , Antoniadis Ioannis
DOI: 10.1016/J.TRC.2014.03.011
关键词:
摘要: Complex Shifted Morlet Wavelets (CSMW) present a number of advantages, since the concept shifting wavelet in frequency domain allow simultaneous optimal selection both center and bandwidth. According to proposed method, cluster CSMW wavelets is used, covering appropriate ranges domain. Then, instead directly processing instantaneous each CSMW, an invariance approach used indirectly recover individual harmonic components signal. This based actually on same rotational approach, using matrix properties, which consists core well known ESPRIT algorithm. Moreover, DESFRI (DEtection Source Frequencies via Rotational Invariance) introduced support method semi-automated applied window. singular values that are extracted as intermediate product decomposition process. By application multi-component synthetic signal way select critical parameters wavelet, investigated. The further tested time-varying acoustic Doppler generated by passing railway vehicle, indicating promising results for estimation variable it.
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