| 基于蚁群算法的改进ICA算法 |
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| 引用本文： | 邓均明,吴法文,陈西宏,徐字亮.基于蚁群算法的改进ICA算法[J].电视技术,2011,35(19):126-128,134. |
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| 作者姓名： | 邓均明 吴法文 陈西宏 徐字亮 |
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| 作者单位： | 空军工程大学导弹学院,陕西三原,713800 |
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| 基金项目： | 国家自然科学基金项目(60971118) |
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| 摘 要： | 针对FastICA算法存在依赖非线性函数选取的缺陷,为了提高分离结果的可靠性,提出一种基于蚁群算法的改进ICA算法.该算法对非线性函数没有特殊要求,以负熵近似表达式为目标函数,利用蚁群算法代替FastICA算法中的牛顿梯度法,求出最优分离矩阵B,从而对混合信号中的独立分量进行分离.仿真结果验证了改进ICA算法的有效性和...
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| 关 键 词： | 独立分量分析 FastICA算法 蚁群算法 |
Improved Independent Component Analysis Based on Ant Colony Algorithm |
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| DENG Junming,WU Fawen,CHEN Xihong,XU Yuliang.Improved Independent Component Analysis Based on Ant Colony Algorithm[J].Tv Engineering,2011,35(19):126-128,134. |
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| Authors: | DENG Junming WU Fawen CHEN Xihong XU Yuliang |
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| Affiliation: | DENG Junming,WU Fawen,CHEN Xihong,XU Yuliang(Missile Institute,Air Force Engineering University,Shaanxi Sanyuan 713800,China) |
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| Abstract: | The FastICA algorithm has the defect in relying on the selection of nonlinear functions.In order to improve the reliability of the separation results,an improved independent component analysis algorithm based on ant colony algorithm is introduced.Such algorithm has no special requirements of nonlinear function,takes the approximate expression of negative entropy as the objective function,and can be optimized by taking use of ant colony algorithm instead of Newton gradient method.The best separation matrix i... |
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| Keywords: | independent component analysis FastICA algorithm ant colony algorithm |
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