| FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
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A Sparse Representation Algorithm for the Mode Separation and SNR Improvement of Lamb Wave Signals |
| YU Yong-Ling1, ZHANG Hai-Yan1**, SHI Fang-Fang2, FENG Guo-Rui1, MA Shi-Wei3 |
1School of Communication and Information Engineering, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072
2Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080
3Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072
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| Cite this article: |
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YU Yong-Ling, ZHANG Hai-Yan, SHI Fang-Fang et al 2013 Chin. Phys. Lett. 30 034301 |
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Abstract A matching pursuit method based on training an over-complete dictionary is investigated. By using the K-singular value decomposition (K-SVD) algorithm, an over-complete dictionary that describes the Lamb wave signals is trained. The results demonstrate that the method can effectively remove redundant information and separate multiple Lamb wave modes. The matching pursuit method with the K-SVD algorithm shows its efficiency for Lamb wave signal processing.
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Received: 24 October 2012
Published: 29 March 2013
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| PACS: |
43.20.+g
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(General linear acoustics)
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43.35.+d
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(Ultrasonics, quantum acoustics, and physical effects of sound)
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