文件名称:hh
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【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法， 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非
高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示
分离效果良好。-Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy and how to measure its cost function for mixed-signal of the non-Gaussian. Described in detail based on the fixed-point Negentropy criteria and simplify the algorithm. Experiment to select three non-Gaussian vector as a signal source separation Ma tlab simulation results showed good separation efficiency.
高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示
分离效果良好。-Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy and how to measure its cost function for mixed-signal of the non-Gaussian. Described in detail based on the fixed-point Negentropy criteria and simplify the algorithm. Experiment to select three non-Gaussian vector as a signal source separation Ma tlab simulation results showed good separation efficiency.
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基于负熵的ICA算法.pdf