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
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.
2013, Vol. 30 
