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KPCA是一种非线性的盲源分离方法,很好用,推荐大家下载!-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
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《基于白化旋转技术的盲分离算法文章及程序》自己写的针对文章的仿真,基本符合要求还有很多不足-blind source separation
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jade算法,通过联合近似对角化四阶累积量矩阵得到分离矩阵W。由cardoso提出。盲源分离强力工具!-jade algorithm by joint approximate diagonalization fourth-order cumulant matrix separation matrix W. Proposed by the cardoso. Blind Source Separation powerful tool!
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JAD矩阵联合对角化,此数据包包括各种矩阵联合对角化的方法,JADE特征矩阵联合对角化,盲源分离方法的经典方法。有Cardoso开发-JAD,采用matlab编程。-JAD matrix joint diagonalization, this data package includes a variety of matrix joint diagonalization method, JADE characteristic matrix joint diagonalization, blind
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ICA(盲源分离)的一些MATLAB源代码和一些文章,有对带参考信号的 ICA算法的扩展和盲信号分离的matlab仿真-matlab simulation for blind source separation
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一个很好的盲源分离matlab程序,采用了FastICA算法,计算速度快,说用方便-Matlab program a good blind source separation using FastICA algorithm, calculation speed, said with convenience
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盲源分离的新算法,非常经典的英文文献,值得一读。-Blind source separation algorithm, a classic of English literature worth reading.
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该工具箱描述了基于蚁群算法和互信息进行非线性盲源信号分离-The toolkit is described based on ant colony algorithm and mutual information of nonlinear blind source signal separation
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