Paper
24 July 1998 Application of wavelets for transient detection and characterization in health monitoring systems
Karianne Pran, Emil Urnes, Amund S. Bremer, Geir Bjarte Havsgard, Gunnar Wang
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Abstract
We demonstrate the use of a wavelet-based system for detection and characterization of transients. Traditional matched filtering is implemented in the wavelet transform domain, providing us with efficient algorithms with potential for reduced noise and improved signal separation. These O(N) algorithms have been applied to experimental data from a sea trial, demonstrating their potential for online analysis of sensor data in health monitoring systems.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karianne Pran, Emil Urnes, Amund S. Bremer, Geir Bjarte Havsgard, and Gunnar Wang "Application of wavelets for transient detection and characterization in health monitoring systems", Proc. SPIE 3323, Smart Structures and Materials 1998: Mathematics and Control in Smart Structures, (24 July 1998); https://doi.org/10.1117/12.316342
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Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Transform theory

Discrete wavelet transforms

Electronic filtering

Wavelet transforms

Filtering (signal processing)

Sensors

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