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本程序通过优化ICA算法实现了混合图像的盲源分离，分离效果优于一般ICA算法-This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is
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基于峭度的盲源开关算法对信号进行分离，实现了良好的分离效果-Kurtosis-based switch algorithm for blind source separation of signals to achieve a good separation effect
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on of method for blind source separation implementation for instantaneous mixture
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对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI-Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to
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对接收信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中重要的一种快速独立分量分析盲源分离算法——FASTICA-Separation of the received signal is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate
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一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好-An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect
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基于最大信噪比的盲源分离算法，源信号为混沌信号。-Based on the maximum signal to noise ratio Blind source separation algorithm, the source signal for the chaotic signal.
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基于峭度的盲源分离算法，包含画图子程序。-Based on Kurtosis algorithm for blind source separation, including the drawing subroutine.
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几种集体联合对角化的盲源分离算法，包括ACDC，SOBI,WEDGE,UWEDGE.-Several collective joint diagonalization for blind source separation algorithm, including ACDC, SOBI, WEDGE, UWEDGE.
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These pages introduce a MATLAB Graphical User Interface (GUI) for control of several Blind Source Separation (BSS) algorithms. The GUI enables to work with input and output data, multiple signals plot and saving output variables to the base workspace
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考虑排序问题的盲卷积分离模型算法程序，实现盲源分离。-Consider the scheduling problem of blind separation model convolution algorithm program to achieve blind source separation.
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几路语音信号的盲源分离，采用FDICA，有图形化界面，特别适合中级学者-Several road blind source separation of speech signals, using FDICA, a graphical interface, especially for intermediate and scholars
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盲源分离EASI算法，一种简单的盲源分离算法，容易实现-Blind source separation of EASI
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独立分量分析的程序，MATLAB环境下编写的，采用的是JADE方法，可用来进行盲源分离-Independent component analysis program, MATLAB environment prepared by the JADE method can be used for blind source separation
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这是一种二阶盲源分离算法，算法速度快，程序简单。-This is a second-order blind source separation algorithm, the algorithm fast, simple procedure.
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blind source separation
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fastICA,进行串行盲源分离的一种不错的方法-fastICA, serial blind source separation method for a good
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学习盲源分离的独立分量分离，可以作为学习盲源分离的基本程序-Learning blind source separation independent component can be used as learning the basic procedures for blind source separation
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考虑典型的盲信源分离问题，用自然梯度算法实现盲信号分离。在盲信号分离中，用串音误差：作为衡量信号分离的性能指标。
-Consider the typical problem of blind source separation, natural gradient algorithm using blind signal separation. In the blind signal separation, with the crosstalk error: signal separation
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