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基于GGD模型独立成分分析算法的局部稳定性分析 被引量：3

Local Stability Analysis of Independent Component Analysis Algorithm Based on Generalized Gauss Model
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摘要 基于广义Gauss概率密度模型对超Gauss和亚Gauss源混合信号进行盲分离,在Stiefel流形的自然梯度法框架下,分析了独立成分分析算法的局部稳定性,并采用几种典型非线性函数验证了所得结论的正确性和适用性. Generalized Gauss density model was employed for the blind separation of the super-Gauss sources, and the local stability analysis was performed for independent algorithm in the framework of the natural gradient in Stiefel manifold. We presented some local stability analysis and verified their correctness and applicability. mixtures of component new results sub- and analysis about its
作者 汪太月 李宏伟
机构地区 中国地质大学数理学院 湖北理工学院数理学院
出处 《吉林大学学报（理学版）》 CAS CSCD 北大核心 2012年第4期793-797,共5页 Journal of Jilin University:Science Edition
基金 国家自然科学基金(批准号:61071188 40776006) 湖北省自然科学基金(批准号:2009CDB077)
关键词 广义Gauss分布 独立成分分析 自然梯度 局部稳定性 generalized Gauss distribution independent component analysis natural gradient local stability
分类号 TN911 [电子电信—通信与信息系统]
  • 相关文献

参考文献13

  • 1LEE T W. Independent Component Analysis Theory and Application [ M ]. Kluwer: Dordrecht, 2006.
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二级参考文献27

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共引文献1

同被引文献29

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二级引证文献7

吉林大学学报（理学版）
2012年 第4期

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