| 基于ICA的混叠声目标的分离和评价 |
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| 引用本文： | 韩晓晨,陈功.基于ICA的混叠声目标的分离和评价[J].电子质量,2007(5):6-8,12. |
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| 作者姓名： | 韩晓晨 陈功 |
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| 作者单位： | 1. 海军指挥学院,南京,211800
2. 解放军理工大学通信工程学院,南京,210007 |
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| 摘 要： | 本文提出一种基于独立分量分析战场混叠振动目标盲分离方法,并且采用相关系数来评价分离信号与源信号的对应关系.实验表明,分离声信号从波形上看很好地保持了原始信号的波形,采用相关系数评价标准能较准确地确定分离信号和源信号的次序,该方法在混叠声目标分离中具有可行性.
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| 关 键 词： | 独立分量分析 混叠 相关系数 分离 |
| 文章编号： | 1003-0107（2007）05-0006-03 |
Approach Based on ICA to Separating Mixing Acoustic Targets |
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| Han Xiao-chen,Chen Gong.Approach Based on ICA to Separating Mixing Acoustic Targets[J].Electronics Quality,2007(5):6-8,12. |
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| Authors: | Han Xiao-chen Chen Gong |
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| Institution: | 1.Naval Command College, Nanjing, 211800, China; 2.ICE of PLAUST, Nanjing 210007, China |
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| Abstract: | Independent Component Analysis(ICA) is proposed to realize the blind separation from mixing acoustic vibration targets,and evaluating relations between separating signals and the source. Simulation results indicate that separating signals keep stable with the source,evaluation standard based on correlation coefficients indicate sequences, this method is effective in mixing acoustic targets separation. |
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| Keywords: | ICA Mixing Correlation coefficient Separation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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