Application of signal sparse decomposition in dynamic test |
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Authors: | XUAN Zhi-wei XUAN Chun-qing CHEN Bao-li |
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Affiliation: | XUAN Zhi-wei;XUAN Chun-qing;CHEN Bao-li;College of Information and Communication Engineering,North University of China;Department of Information Engineering,Zhengzhou Chenggong University of Finance and Economics; |
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Abstract: | In dynamic test,sampling rate is high and noise is strong,so a signal sparse decomposition method based on Gabor dictionary is put forward.This method iteratively decomposes the signal with the matching pursuit(MP)algorithm and takes the coherence ratio of the threshold as a condition of iteration termination.Standard MP algorithm is time-consuming,thus an adaptive genetic algorithm is introduced to MP method,which makes computation speed accelerate effectively.Experimental results indicate that this method not only can effectively remove high-frequency noise but also can compress the signal greatly. |
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Keywords: | dynamic test sparse decomposition matching pursuit(MP)algorithm denoising compression |
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