| 一种基于鲁棒聚类的欠定稀疏源盲分离算法 |
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| 引用本文： | 方勇,张烨.一种基于鲁棒聚类的欠定稀疏源盲分离算法[J].上海大学学报(英文版),2008,12(3):228-234. |
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| 作者姓名： | 方勇 张烨 |
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| 作者单位： | FANG Yong（School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China）
ZHANG Ye（School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China;Department Electronic and Information Engineering, Nanchang University, Nanchang 330031, P. R. China） |
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| 基金项目： | 教育部高等学校博士学科点专项科研基金
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上海市重点学科建设项目 |
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| 摘 要： |
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| 关 键 词： | underdetermined blind sources separation (UBSS) robust competitive agglomeration (RCA) sparse signal 鲁棒聚类 盲分离算法 blind sources separation sparse blind separation underdetermined clustering algorithm Simulation results show good performance interior point linear programming estimate competitive agglomeration paper presents robust |
| 收稿时间： | 2006-12-07 |
| 修稿时间： | 2006年12月7日 |
A robust clustering algorithm for underdetermined blind separation of sparse sources |
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| Yong?Fang,Ye?Zhang.A robust clustering algorithm for underdetermined blind separation of sparse sources[J].Journal of Shanghai University(English Edition),2008,12(3):228-234. |
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| Authors: | Yong Fang Ye Zhang |
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| Institution: | 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China
2. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China;Department Electronic and Information Engineering, Nanchang University, Nanchang 330031, P. R. China |
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| Abstract: | In underdetermined blind source separation, more sources are to be estimated from less observed mixtures without knowing source signals and the mixing matrix. This paper presents a robust clustering algorithm for underdetermined blind separation of sparse sources with unknown number of sources in the presence of noise. It uses the robust competitive agglomeration (RCA) algorithm to estimate the source number and the mixing matrix, and the source signals then are recovered by using the interior point linear programming. Simulation results show good performance of the proposed algorithm for underdetermined blind sources separation (UBSS). |
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| Keywords: | underdetermined blind sources separation (UBSS) robust competitive agglomeration (RCA) sparse signal |
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