XUAN Zhi-wei(轩志伟)1, XUAN Chun-qing（轩春青）2, CHEN Bao-li（陈保立）
1. College of Information and Communication Engineering, North University of Ch ina, Taiyuan 030051
Abstract： In dynamic test, sampling rate is high and noise is strong, so a sign al sparse decomposition method based on Gabor dictionary is put forward. This me thod iteratively decomposes the signal with the matching pursuit (MP) algorithm and takes the coherence ratio of the threshold as a condition of iteration termi nation. Standard MP algorithm is time-consuming, thus an adaptive genetic alg orithm is introduced to MP method, which makes computation speed accelerate effe ctively. Experimental results indicate that this method not only can effectively remove high-frequency noise but also can compress the signal greatly.
Key words： dynamic test; sparse decomposition; matching pursuit (MP) algorithm ; denoising; compression
CLD number： TN911.72 Document code： A
Article ID： 1674-8042(2013)03-0243-04 doi： 10.3969/j.issn.1674-8042.2013.03.0 09
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