| 级联双稳随机共振降噪下的有噪ICA研究 |
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| 引用本文： | 何慧龙,王太勇,冷永刚,胥永刚,王国峰. 级联双稳随机共振降噪下的有噪ICA研究[J]. 天津大学学报(自然科学与工程技术版), 2006, 39(12): 1516-1520 |
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| 作者姓名： | 何慧龙 王太勇 冷永刚 胥永刚 王国峰 |
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| 作者单位： | 天津大学机械工程学院,天津300072 |
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| 基金项目： | 国家自然科学基金;天津市科委科研项目;天津大学校科研和教改项目 |
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| 摘 要： | 研究了强噪声混合条件下的独立分量分析（ICA）问题．提出了一种将级联双稳随机共振（SR）用于有噪ICA盲源分离的方法．该方法利用级联双稳SR对时域波形降噪的优良特性，先对有噪ICA信号进行SR输出，再进行ICA盲源分离．实验结果表明，利用上述方法可以有效提高有噪ICA的分离效果．
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| 关 键 词： | 级联双稳系统 随机共振 独立分量分析 盲源分离 降噪 |
| 文章编号： | 0493-2137（2006）12-1516-05 |
| 收稿时间： | 2006-05-23 |
| 修稿时间： | 2006-05-232006-07-03 |
Noisy ICA Based on Cascaded Bistable Stochastic Resonance Denoising |
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| HE Hui-long,WANG Tai-yong,LENG Yong-gang,XU Yong-gang,WANG Guo-feng. Noisy ICA Based on Cascaded Bistable Stochastic Resonance Denoising[J]. Journal of Tianjin University(Science and Technology), 2006, 39(12): 1516-1520 |
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| Authors: | HE Hui-long WANG Tai-yong LENG Yong-gang XU Yong-gang WANG Guo-feng |
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| Affiliation: | School of Mechanical Engineering, Tianjin University, Tianjin 300072, China |
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| Abstract: | The independent component analysis(ICA) in strong noisy mixtures was conducted and a blind source separation method of noisy ICA was presented.This method,based on the cascaded bistable stochastic resonance(SR),was used to improve the separation performance of noisy ICA by virtue of its denoising ability to time domain signals.The experiment results prove that compared with the situation without denoising,the separation performance after cascaded bistable SR denoising is enhanced greatly. |
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| Keywords: | cascaded bistable system stochastic resonance independent component analysis(ICA) blind source separation denoising |
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