| 引用本文: | 李远清,张丽清,刘永清,胡 刚.一种奇异混合信号盲分离的神经网络模型[J].控制理论与应用,2001,18(1):105~108.[点击复制] |
| LI Yuan-qing,ZHANG Li-qing,LIU Yong-qing,HU Gang.A Kind of Neural Network Model for Blind Separation of Singularly Mixed Sources[J].Control Theory and Technology,2001,18(1):105~108.[点击复制] |
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| 一种奇异混合信号盲分离的神经网络模型 |
| A Kind of Neural Network Model for Blind Separation of Singularly Mixed Sources |
| 摘要点击 1231 全文点击 1828 投稿时间：1998-11-30 修订日期：2000-06-26 |
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| DOI编号 10.7641/j.issn.1000-8152.2001.1.024 |
| 2001,18(1):105-108 |
| 中文关键词 信号盲分离 奇异性 神经网络 噪声 |
| 英文关键词 blind separation singularity neural networks noise |
| 基金项目 国家自然科学基金重点基金(69574009)、国家自然科学基金(60004004)、广东省自然科学基金(990584)资助项目. |
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| 中文摘要 |
| 混合信号盲分离问题是一类很难而又具有很强应用背景的问题,以往对这类问题的研究均在混合矩阵为非奇异的条件下进行. 本文给出一种神经网络模型及相应算法,处理混合矩阵为奇异的混合信号盲分离问题. |
| 英文摘要 |
| Blind separation of sources is a problem arising in many practical fields, which is difficult to research. In the existing references, the mixing matrix of sources is always supposed to be nonsingular. This paper presents an algorithm and a corresponding networks to deal with blind separation of sources in the case of singular mixing matrix. |
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