| 独立分量分析及其应用 |
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| 引用本文： | 田其冲,郑卫国,孙大雷.独立分量分析及其应用[J].数字社区&智能家居,2009(18). |
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| 作者姓名： | 田其冲 郑卫国 孙大雷 |
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| 作者单位： | 中国矿业大学计算机科学与技术学院; |
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| 摘 要： | 独立分量分析是信号处理领域的一个研究热点,它能从混合信号中分离出既具有统计独立性又具有非高斯性的源信号。介绍了独立分量分析的数学模型及其假设条件、求解方法,在此基础上分析了其在语音信号处理、特征提取、生物医学信号处理等领域的应用,最后指出了其发展趋势与进一步的研究方向。
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| 关 键 词： | 独立分量分析 盲源分离 独立性判据 应用 |
Research on Independent Component Analysis and its Applications |
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| TIAN Qi-chong,ZHENG Wei-guo,SUN Da-lei.Research on Independent Component Analysis and its Applications[J].Digital Community & Smart Home,2009(18). |
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| Authors: | TIAN Qi-chong ZHENG Wei-guo SUN Da-lei |
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| Affiliation: | TIAN Qi-chong,ZHENG Wei-guo,SUN Da-lei (School of Computer Science , Technology,China University of Mining , Technology,Xuzhou 221116,China) |
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| Abstract: | Independent component analysis(ICA) is a research focus in the signal processing field. With the method of ICA, the source signals which are statistical independence and non-gaussian can be separated from the mixed-signals. In this paper, the mathematical model and assumed conditions, solution methods of ICA are introduced. Then the applications of ICA in speech signal processing, feature extraction, biomedical signal processing and other fields are analyzed, and finally the development and further research... |
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| Keywords: | ICA blind source separation(BSS) independence criterion application |
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