Paper
30 March 2009 Lamb waves decomposition and mode identification using matching pursuit method
Author Affiliations +
Abstract
Matching pursuit (MP) is an adaptive signal decomposition technique and can be applied to process Lamb waves, such as denoising, wave parameter estimation, and feature extraction, for health monitoring applications. This paper explored matching pursuit decomposition using Gaussian and chirplet dictionaries to decompose/approximate Lamb waves and extract wave parameters. While Gaussian dictionary based MP is optimal for decomposing symmetric signals, chirplet dictionary based MP is able to decompose asymmetric signals, e.g., dispersed Lamb wave. The extracted parameter, chirp rate, from the chirplet MP can be used to correlate with two Lamb wave modes, S0 and A0.
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Buli Xu, Victor Giurgiutiu, and Lingyu Yu "Lamb waves decomposition and mode identification using matching pursuit method", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 72920I (30 March 2009); https://doi.org/10.1117/12.816087
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Cited by 19 scholarly publications.
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KEYWORDS
Associative arrays

Chemical species

Signal processing

Structural health monitoring

Fourier transforms

Interference (communication)

Time-frequency analysis

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