| 基于蚁群算法和互信息进行非线性盲源信号分离 |
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| 引用本文： | 吴新杰,崔春阳,许超,吴成东.基于蚁群算法和互信息进行非线性盲源信号分离[J].辽宁大学学报(自然科学版),2010,37(2):97-100. |
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| 作者姓名： | 吴新杰 崔春阳 许超 吴成东 |
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| 作者单位： | 1. 辽宁大学物理学院,辽宁,沈阳,110036
2. 东北大学信息学院,辽宁,沈阳,110004 |
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| 基金项目： | 教育部高等学校青年骨干教师资助项目，华北电力大学电站设备状态监测与控制教育部重点实验室开放基金资助项目 |
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| 摘 要： | 针对在非线性混叠盲源分离中代价函数往往具有许多局部最优解,而求解其全局最优解非常困难的问题,这里提出一种基于蚁群算法进行非线性盲源信号分离的方法.该方法用高阶奇数多项式拟合非线性混合函数,以分离信号的互信息作为代价函数.并对非线性混合信号进行了仿真研究.由此方法得到的分离信号和源信号的相似系数都在98%以上,仿真实验结果表明该方法能够对非线性盲源信号进行很好地分离.
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| 关 键 词： | 非线性混合物 盲源信号分离 蚁群算法 互信息 |
Application of Ant Colony Algorithm and Mutual Information in Nonlinear Blind Source Separation |
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| WU Xin-jie,CUI Chun-yang,XU Chao,WU Cheng-dong.Application of Ant Colony Algorithm and Mutual Information in Nonlinear Blind Source Separation[J].Journal of Liaoning University(Natural Sciences Edition),2010,37(2):97-100. |
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| Authors: | WU Xin-jie CUI Chun-yang XU Chao WU Cheng-dong |
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| Institution: | WU Xin-jie1,CUI Chun-yang1,XU Chao1,WU Cheng-dong2(1.College of Physics,Liaoning University,Shenyang 110036,China2.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China) |
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| Abstract: | In nonlinear blind source separation,usually it is very difficulty to find the global optimal values of cost functions due to the existence of many local optimal values.In order to overcome the disadvantages mentioned above,the method of nonlinear blind source separation based on ant colony algorithm is proposed in this paper.The high-order odd polynomial function is used to fit the nonlinear transfer function in this method;the mutual information of separation signals is used as cost function of ant colony... |
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| Keywords: | nonlinear mixture blind source separation ant colony algorithm mutual information |
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