| 基于最大信噪比的盲源分离算法的修正与比较 |
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| 引用本文： | 高剑茹,高宝成. 基于最大信噪比的盲源分离算法的修正与比较[J]. 电脑与信息技术, 2009, 17(1): 19-21 |
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| 作者姓名： | 高剑茹 高宝成 |
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| 作者单位： | 北京邮电大学,自动化学院,北京,100876 |
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| 摘 要： | 对基于最大信噪比的盲源分离算法进行了修正，解决了原算法在一些情况下失效的问题，并且比较分析了以上算法和全局最优盲源分离算法的分离性能。仿真结果表明，修正了的基于最大信噪比的盲源分离算法和全局最优盲源分离算法经常在分离性能上很相近，且都解决了修正前算法在一些情况下失效的问题。
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| 关 键 词： | 最大信噪比 滑动平均 特征向量 全局最优 |
Revision and Comparison of Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio |
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| GAO Jian-ru,GAO Bao-cheng. Revision and Comparison of Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio[J]. Computer and Information Technology, 2009, 17(1): 19-21 |
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| Authors: | GAO Jian-ru GAO Bao-cheng |
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| Affiliation: | (School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China) |
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| Abstract: | This paper revises the blind source separation algorithm based on maximum signal noise ratio and solves the problem of losing the effect under some conditions of the original algorithm. This paper also compares and analyzes the separation performances of the above two and the algorithm based on global optimal property. Simulations show that the separation performances of the revised algorithm based on maximum signal noise ratio and the algorithm based on global optimal property are always similar, and they both solves the problem of losing the effect under some conditions of the original algorithm. |
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| Keywords: | maximum signal noise ratio moving average eigenvector global optimal property |
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