| 未知源信号峭度正负性的盲分离 |
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| 引用本文： | 张明键,韦岗.未知源信号峭度正负性的盲分离[J].电路与系统学报,2005,10(2):18-22. |
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| 作者姓名： | 张明键 韦岗 |
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| 作者单位： | 华南理工大学,电子与信息学院,广东,广州510640 |
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| 基金项目： | 国家自然科学基金资助项目(60172048)，教育部博士点基金资助项目(20010561007) |
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| 摘 要： | 大多数的盲分离算法假设源信号峭度的正负性是己知的，并据此选择相应的非线性函数近似评价函数(score function)。针对源信号峭度的正负性未知的情况，本文提出了一个评价函数的参数估计方法，本算法能有效地分离混合在一起的超高斯信号和亚高斯信号，仿真结果验证了算法的有效性。
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| 关 键 词： | 盲分离 超高斯和亚高斯 评价函数估计 |
| 文章编号： | 1007-0249(2005)02-0018-05 |
| 修稿时间： | 2004年2月27日 |
Blind separation with unknown signs of the kurtoses of sources |
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| ZHANG Ming-jian,WEI Gang.Blind separation with unknown signs of the kurtoses of sources[J].Journal of Circuits and Systems,2005,10(2):18-22. |
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| Authors: | ZHANG Ming-jian WEI Gang |
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| Abstract: | Most blind source separation algorithms assume that the signs of the kurtoses of the source signals are known, according to which nonlinear functions are chosen to approximate the score functions. To tackle the cases where the signs of the kurtoses are unknown, we propose a new algorithm exploiting the parametric estimation of the score function. The proposed algorithm can separate super-Gaussian, Gaussian and sub-Gaussian signals from their mixtures. Validity and performance of the proposed algorithm are demonstrated by extensive computer simulations. |
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| Keywords: | blind source separation super-Gaussian and sub-Gaussian estimation of score function |
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