| 基于信号局部特征的自适应小波分析方法研究 |
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| 引用本文： | 阳小燕,刘义伦,金晓宏,王广斌. 基于信号局部特征的自适应小波分析方法研究[J]. 湖南科技大学学报(自然科学版), 2006, 21(4): 27-30 |
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| 作者姓名： | 阳小燕 刘义伦 金晓宏 王广斌 |
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| 作者单位： | 1. 中南大学,机电工程学院,湖南,长沙,410083;湖南科技大学,机电工程学院,湖南,湘潭,411201
2. 中南大学,机电工程学院,湖南,长沙,410083 |
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| 基金项目： | 湖南省自然科学基金资助项目（04JJ30050） |
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| 摘 要： | 提出了基于信号局部特征的自适应小波分析以及分段阚值自适应选择方法．针时旋转机械检测信号首先在时域中分析信号的局部特征，根据其局部特征分段自适应地选择小波函数进行信号处理，并分段计算其相应的阚值，进行小波信号处理，从而最大限度地保留信号特征，提高信号处理的性噪比．图2，参7．
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| 关 键 词： | 局部特征 自适应 小波分析 阈值计算 |
| 文章编号： | 1672-9102（2006）04-0027-04 |
| 收稿时间： | 2006-07-03 |
| 修稿时间： | 2006-07-03 |
Study on Wavelet Adaptive-Analysis Method Based on Local Feature of Signals |
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| YANG Xiao-yan,LIU Yi-lun,JIN Xiao-hong,WANG Guang-bin. Study on Wavelet Adaptive-Analysis Method Based on Local Feature of Signals[J]. Journal of Hunan University of Science & Technology(Natural Science Editon), 2006, 21(4): 27-30 |
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| Authors: | YANG Xiao-yan LIU Yi-lun JIN Xiao-hong WANG Guang-bin |
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| Affiliation: | 1. Central South University, Changsha 410083, China; 2. Hunan University of Science and Technology, Xiangtan 411201, China |
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| Abstract: | Adaptive wavelet analysis method was studied, and adaptive wavelet analysis was advanced that based on local features of signals and adaptive selection method about piecewise threshold. According tO local features of detection signals of rotating machinery firstly analyzed in time-domain analysis, the wavelet function was sectionally adaptively selected to treat signals, and the threshold was sectionally calculated, and the wavelet signal treatmem was produced. So signals features was mostly kept, and sign to noise rote of signals treatment was increased. 2figs., 7refs. |
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| Keywords: | local feature adaptive wavelet analysis threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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