TR32-Database: Database of Transregio 32

[978] - Ultrasonic waveguide signal decomposition using the synchrosqueezed wavelet transform for modal group delay computation

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Bause, F., Huang, B., Henning, B., Kunoth, A., 2013. Ultrasonic waveguide signal decomposition using the synchrosqueezed wavelet transform for modal group delay computation.Proc. of 2013 IEEE International Ultrasonics Symposium (IUS), July 21 - 25, 2013, Prague, Czech Republic, 671 - 674. DOI: 10.1109/ULTSYM.2013.0173.
Title(s):Main Title: Ultrasonic waveguide signal decomposition using the synchrosqueezed wavelet transform for modal group delay computation
Description(s):Abstract: Due to the modal behavior of geometrically bounded media, ultrasonic guided waves propagate in waveguides as a combination of multiple dispersive wave packets, which can be simulated as a PDE-problem. Given an excitation in time and space, multiple eigen-modes derived from solving the PDE may propagate each with different dispersion characteristics and weight. Considering a broad-band pulse exciting from one side of a hollow cylindrical waveguide, the received signal at the other side consists of all propagating eigen-modes that can be considered approximately as the narrow band signals. The synchrosqueezed wavelet transform (SWT) is employed to sharpen the time-frequency representation (TFR) of the received waveguide signal. Using a ridge detection algorithm, we successively separate the synchrosqueezed TFR into several narrow band TFRs which can be identified as oscillatory components with time-varying frequency. Then those separated TFRs are reconstructed as narrow band signals using the inverse SWT. Based on an analytical model of the waveguide, we observe that the decomposed signals are similar to those dominant eigen-modes simulated above. Moreover, also the group delay and, therefore, the group velocity of each decomposed signal can be estimated well. This is of high interest when analyzing the characteristic of a given waveguide, such as acoustical property measurements or non-destructive testing.
Identifier(s):DOI: 10.1109/ULTSYM.2013.0173
Responsible Party
Creator(s):Author: Fabian Bause
Author: Boqiang Huang
Author: Bernd Henning
Author: Angela Kunoth
TR32 Topic:Other
Related Sub-project(s):C1, C7
Subject(s):CRC/TR32 Keywords: Wavelet Transforms
GEMET: mathematical analysis
File Details
File Name:Bause_2013_ConfPaper_IEEE.pdf
Data Type:Text
File Size:1448 kB (1.414 MB)
Date(s):Date Accepted: 2013-07-21
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use in TR32 only.
Access Limitations:For internal use in TR32 only.
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Type:Event Paper
Page Range:671 - 674
Event Name:2013 IEEE International Ultrasonics Symposium (IUS)
Event Type:Conference
Event Location:Prague, Czech Republic
Event Period:21st of July, 2013 - 25th of July, 2013
Metadata Details
Metadata Creator:Angela Kunoth
Metadata Created:2014-07-16
Metadata Last Updated:2014-07-16
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:128
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity