Fast wavelet transform algorithm and its application in health monitoring system

The wavelet transform, as an important tool of signal processing, has been applied to many fields. In this paper, a fast wavelet transform (FWT) algorithm and a source location algorithm based on the FWT are presented. Based on these algorithms, a health monitoring system for anisotropic material st...

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Hauptverfasser:	Wang Bo, Takatsubo, J., Akimune, Y., Tsuda, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Continuous wavelet transforms Detection, estimation, filtering, equalization, prediction Exact sciences and technology Fourier transforms Frequency Fuel processing industries History Information, signal and communications theory Miscellaneous Monitoring Petroleum Position measurement Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Wavelet analysis Wavelet transforms
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Beschreibung
Zusammenfassung:	The wavelet transform, as an important tool of signal processing, has been applied to many fields. In this paper, a fast wavelet transform (FWT) algorithm and a source location algorithm based on the FWT are presented. Based on these algorithms, a health monitoring system for anisotropic material structures was developed. The algorithms can improve the precision and speed of source location. The health monitoring system can locate the impact damage and identify the impact load history with a good precision in real-time.
DOI:	10.1109/ICOSP.2004.1452628