| 基于独立分量分析的缺陷信号除噪 |
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| 引用本文： | 查君君,何辅云,胡浪涛.基于独立分量分析的缺陷信号除噪[J].合肥工业大学学报(自然科学版),2007,30(10):1250-1252. |
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| 作者姓名： | 查君君 何辅云 胡浪涛 |
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| 作者单位： | 合肥工业大学,计算机与信息学院,安徽,合肥,230009 |
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| 基金项目： | 国家科技部科研院社会公益研究资金资助项目(Z00-G03) |
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| 摘 要： | 独立分量分析ICA是一项新兴的阵列信号处理方法,在简要介绍ICA概念和定点算法的基础上,将ICA的定点算法应用到缺陷信号除噪中。仿真试验结果表明,ICA的定点算法除噪效果优于传统的数字滤波器,它在缺陷信号除噪中具有较大的应用潜能。
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| 关 键 词： | 独立分量分析 定点算法 漏磁检测 缺陷信号 数字滤波器 |
| 文章编号： | 1003-5060(2007)10-1250-03 |
| 修稿时间： | 2006年10月16 |
Reduction of noise in flaw signals based on independent component analysis |
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| ZHA Jun-jun,HE Fu-yun,HU Lang-tao.Reduction of noise in flaw signals based on independent component analysis[J].Journal of Hefei University of Technology(Natural Science),2007,30(10):1250-1252. |
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| Authors: | ZHA Jun-jun HE Fu-yun HU Lang-tao |
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| Abstract: | The basic theory of independent component analysis(ICA),which is a new processing method of array signals,and the fixed-point algorithm for ICA are briefly introduced.A fixed-point algorithm for ICA is used to reduce the noise in flaw signals.Denoising simulation experiment is carried out,and the presented method is compared with a traditional digital filter.The results show that in the denoising application the ICA algorithm is superior to the traditional digital filter.Thus the fixed-point algorithm for ICA has large potential in denoising of flaw signals. |
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| Keywords: | independent component analysis(ICA) fixed-point algorithm magnetic flux leakage testing flaw signal digital filter |
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