节点文献
基于源信号之间统计独立性的 ICA方法的等价性研究
Study on the Equivalence ICA Methods of the Based on the Statistical Independence
【摘要】 引入了基本ICA问题的发生模型;通过对基于源信号之间统计独立性的三种基本ICA方法(极大似然法、最大信息法和最小互信息法)的推导结果的对比,得出了这三种算法是完全等价的结论;并通过仿真实验,验证了这些算法的有效性。
【Abstract】 This paper presents the generation model of independent component analysis(ICA) problem. Three statistics independence based ICA methods, the Maximum likelihood, the Infomax, and the Minimum Mutual Information, are studied by deriving and comparing their iteration equations. The results of the study show that the three methods are totally the same although they are derived from different criterion and cost functions. Simulation for separating a mixed signal is conducted, which verifies the validity of these kinds of ICA methods.
【关键词】 独立分量分析;
源信号;
极大似然法;
最大信息法;
最小互信息法;
【Key words】 ICA; source signal; maximum likelihood; infomax; minimum mutual information;
【Key words】 ICA; source signal; maximum likelihood; infomax; minimum mutual information;
【基金】 国家自然科学基金资助项目(30170259)(60172072);国家973专项资助项目(2001CCA00700);辽宁省科学技术基金资助项目(2001101057)
- 【文献出处】 探测与控制学报 ,Journal of Detection & Control , 编辑部邮箱 ,2003年04期
- 【分类号】TN911.7
- 【被引频次】7
- 【下载频次】144