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A blind source separation algorithm is proposed
that is based on minimizing Renyi’s mutual information by means
of nonparametric probability density function (PDF) estimation.
The two-stqge process consists of spatial whitening
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一种利用小波包变换进行盲信号分离的程序。-Program for blind source separation using wavelet packet transform.
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Blind Source Separation (BSS) is a statistical approach to
separate individual signals from an observed mixture of a
group of signals. BSS relies on only very weak assumptions
on the signals and the mixing process and this blindness
enab
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硕博美国留学的中科大本科毕业的研究独立分量分析的一位牛人编写的子带ica的matlab程序。研究盲源分离的必备。-USTC graduated Shuobo study in the United States of an independent component analysis cattle were prepared subband ica matlab program. Study the blind source separation essential.
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matlab 盲源分离 主分量分析-blind source separation PCA
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相关的 BSS 盲源分离问题和 CS压缩感知的结合4篇论文打包，以及一个声音信号混合分离的简单实现-the realization of BSS(blind source separation) and CS(compressed sensing), and a sample of volume signal
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用ICA算法实现ECG信号盲源分离的小程序，-ICA algorithm to achieve the ECG signal blind source separation program
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变步长自然梯度算法实现盲源分离，后面还有动量项自然梯度算法-Variable step-size natural gradient algorithm for blind source separation
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自然梯度算法，实现盲源分离，体现了该方法性能-The natural gradient algorithm, realization of blind source separation, reflects the performance of the proposed method
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基于峭度的方法实现盲源分离，该程序是对四个盲信号的分离-Methods the kurtosis based on blind source separation to achieve, the program is of four blind signal separation
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三个信号的盲源分离问题，利用峭度方法实现-The three signal blind source separation, using kurtosis
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LMS自然梯度算法，在经典的最小均方(LMS)算法中引入非线性函数,得到一种非线性LMS算法.该算法根据LMS算法建立了相应的对照函数,用自然梯度推导出了自适应盲源分离算法-LMS natural gradient algorithm, in the classical least mean square (LMS) nonlinear function in the algorithm, a nonlinear LMS algorithm. The algorithm function is
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利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明，独立分量分析可以有效地实现分离。-FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively
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一种在盲源分离中用到的互信息最大化Ica算法的matlab程序-Mutual information maximization Ica used a blind source separation algorithm matlab program
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一种新型的基于盲源分离算法的研究资料内容-A new type of research data based on blind source separation
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基于二阶统计量的SOBI算法，适用于盲源分离-SOBI algorithm based on second-order statistics for blind source separation
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稀疏分析用于处理欠定盲源分离问题，有英文注释-Sparse analysis dealing with underdetermined blind source separation, English Notes
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稀疏分解算法用于欠定盲源分离，有英文注释-Sparse decomposition algorithm for underdetermined blind source separation, English Notes
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基于稀疏分解的欠定盲源分离，要求信号具有一定的稀疏性。-Based on sparse decomposition due to blind source separation, the signal has a certain sparseness.
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基于非参数概率密度估计的盲源分离算法（NpICA），使用matlab编程，有可视界面。-Non-parametric probability density estimation-based blind source separation algorithm (NpICA), using the Matlab programming, visual interface.
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