| 采用独立分量分析方法消除信号中的工频干扰 |
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| 引用本文： | 吴小培,詹长安,周荷琴,冯焕清.采用独立分量分析方法消除信号中的工频干扰[J].中国科学技术大学学报,2000,30(6):671-676,638. |
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| 作者姓名： | 吴小培 詹长安 周荷琴 冯焕清 |
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| 作者单位： | 1. 中国科学技术大学电子科学与技术系
2. 中国科学技术,大学自动化系,合肥,230026 |
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| 基金项目： | 国家自然科学基金!(6 0 0 710 2 3)资助项目 |
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| 摘 要： | 工频干扰的消除是微弱信号采集中的一项重要技术，传统方法是采用陷波滤波器或自适应滤波，论文则提出了用独立分量分析（ICA）进行生物医学信号中工频干扰消除的新方法，在简要介绍了独立分量分析的基本理论及算法的基础上，根据三种不同的实际情况，详细讨论了利用独立分量分析进行工频干扰消除的方法与步骤，并给出了实验结果。
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| 关 键 词： | 独立分量分析 工频干扰 负熵 快速ICA算法 微弱信号采集 |
Removal of Power Interference from Digital Signals by Using Independent Component Analysis |
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| WU Xiao-pei,ZHAN Chang-an,FENG Huan-qin,ZHOU He-qing.Removal of Power Interference from Digital Signals by Using Independent Component Analysis[J].Journal of University of Science and Technology of China,2000,30(6):671-676,638. |
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| Authors: | WU Xiao-pei ZHAN Chang-an FENG Huan-qin ZHOU He-qing |
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| Abstract: | Removal of the power interference is a key technology in the acquisition of weak signals. The traditional method to remove power frequency interference is to use a notch filter or adaptive filter. In this paper, a novel approach to removing power frequency interference from biomedical signals based on Independent Component Analysis (ICA) is studied. The basic theory and algorithm of ICA is briefly introduced. On the basis of three different conditions, the theory and realizing steps of removing power frequency interference from biomedical signals by using ICA are discussed in detail. The experiment results are also given paper. |
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| Keywords: | independent component analysis power interference negentropy Fast ICA algorithm |
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