韩瑜

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性别:女

毕业院校:韩国亚洲大学

学位:硕士

所在单位:软件学院、国际信息与软件学院

电子邮箱:yhan@dlut.edu.cn

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Wavelet de-noising double-threshold optimization method and its application

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论文类型:会议论文

发表时间:2010-01-01

收录刊物:EI、Scopus

页面范围:1542-1546

摘要:A method based on ant colony algorithm is given for optimizing wavelet de-noising double-threshold. The optimization interval and the objective function are chosen according to the difference of autocorrelation coefficient, which belong to signal's wavelet coefficient and noise's wavelet coefficient respectively. The optimal upper threshold and lower threshold are calculated by ant colony algorithm. Simulation and compressor vibration fault detection application results demonstrate that the proposed method can optimize the de-noising threshold and de-noising effectively. ? 2010 IEEE.