| 基于小波分析的盲源分离 |
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| 引用本文： | 林志阳,白洋,张春元,易家傅.基于小波分析的盲源分离[J].海南大学学报(自然科学版),2013,31(2):139-142,148. |
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| 作者姓名： | 林志阳 白洋 张春元 易家傅 |
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| 作者单位： | 海南大学信息科学技术学院,海南海口,570228 |
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| 基金项目： | 海南省自然科学基金项目 |
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| 摘 要： | 提出一种新盲源（BSS）分离算法是在独立分量分析（ICA）算法中引入离散小波变换技术分解出有用信号．ICA是一种线性非高斯统计方法，不仅能够使研究对象相互独立或尽可能独立，而且能突出源信号的本质结构．笔者采用的新盲源算法能够将时-频ICA相结合，实现了较好的盲源分离．
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| 关 键 词： | 盲源分离 离散小波变换 独立分量分析 |
Decomposition of Blind Signal Based on Wavelet Analysis |
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| LIN Zhi-yang
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BAI Yang
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ZHANG Chun-yuan
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YI Jia-fu.Decomposition of Blind Signal Based on Wavelet Analysis[J].Natural Science Journal of Hainan University,2013,31(2):139-142,148. |
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| Authors: | LIN Zhi-yang BAI Yang ZHANG Chun-yuan YI Jia-fu |
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| Institution: | (College of Information Science & Technology,Hainan University,Haikou 570228,China) |
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| Abstract: | In the report, a new algorithm for blind source separation （BSS） was proposed, which introduce dis- crete wavelet transform into independent component analysis （ICA） algorithm to obtain the useful signal. The ICA algorithm is a linear non-Gaussian statistical method, not only makes the components independent or independent as possible, but also highlights the nature structure of the source signal. The new BSS algorithm can combine frequency-domain ICA and time-domain ICA, which achieves a better blind source separation. |
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| Keywords: | blind source separation discrete Wavelet transforms independent component analysis |
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