| 稀疏盲源信号分离的新算法 |
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| 引用本文： | 傅予力,谢胜利,何昭水.稀疏盲源信号分离的新算法[J].计算机工程与应用,2007,43(9):84-87. |
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| 作者姓名： | 傅予力 谢胜利 何昭水 |
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| 作者单位： | 华南理工大学,电子与信息工程学院,广州,510640 |
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| 基金项目： | 国家自然科学基金
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国家自然科学基金
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广东省自然科学基金 |
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| 摘 要： | 针对以往通常采用线性规划或最短路径法计算相对复杂这一稀疏盲信号分离瓶颈,提出了一种新的算法,通过方向投影合理设置迭代初始值,结合最速下降法寻优估计源信号。新算法容易实现,分离速度快,能够很好地满足盲分离对速度的要求。
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| 关 键 词： | 盲信号分离 稀疏表示 欠定盲源分离 两步法 |
| 文章编号： | 1002-8331（2007）09-0084-04 |
| 修稿时间： | 2006-11 |
New algorithm of blind sparse source separation |
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| FU Yu-li,XIE Sheng-li,HE Zhao-shui.New algorithm of blind sparse source separation[J].Computer Engineering and Applications,2007,43(9):84-87. |
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| Authors: | FU Yu-li XIE Sheng-li HE Zhao-shui |
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| Affiliation: | Electronic and Information Engneering CoUege,Huanan Technology University,Guangzhou 510640,China |
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| Abstract: | In this paper,the estimation of the source signals is discussed in detail.Usually,linear programming or shortest-path technique is used.Since they are all with complex computation,they are very hard to be operated.To improve the algorithm,we propose a new algorithm by setting suitable initial value direction projection by direction projection.A steepest descent algorithm is associated to estimate the source signals.The new algorithm is easy to be implemented and with fast convergent speed.The algorithm satisfies the demand of convergent speed in BSS. |
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| Keywords: | Blind Source Separation(BSS) sparse representation underdetermined blind source separation two-step method |
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