| 小波变换在EEG噪声滤除中的应用 |
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| 引用本文： | 叶婷. 小波变换在EEG噪声滤除中的应用[J]. 信息通信, 2011, 0(3): 15-16 |
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| 作者姓名： | 叶婷 |
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| 作者单位： | 武汉理工大学机电工程学院,湖北武汉,430070 |
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| 摘 要： | 通过小波变换与标准傅里叶变换和短时傅里叶变换比较,指出了小波变换以其良好的时频局部性,成为时频分析方法中发展最为迅速的一种,并着重介绍了小波变换在滤除脑电信号噪声领域的应用.
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| 关 键 词： | 傅里叶变换 短时傅里叶变换 小波变换 噪声滤除 阈值自适应 |
Application on Wavelet Transform in EEG Signal De-noising |
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| Ye ting. Application on Wavelet Transform in EEG Signal De-noising[J]. Information & Communications, 2011, 0(3): 15-16 |
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| Authors: | Ye ting |
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| Abstract: | This paper compares wavelet transform with standard Fourier transform and short-time Fourie transform,then points out it is one of the fast developed time-frequency analysis means with its good the localization in time-frequency domain,at last it puts its emphasis on the applying field of filtering the noise in EEG. |
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| Keywords: | Fourier transform short-time Fourie transform wavelet transform de-noising threshold adaptive |
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