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本算法针对盲源分离卷积算法，可以直接使用，效果很好-The convolution algorithm for blind source separation algorithm can be directly used with good results
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盲源分离中，卷积噪声的去除，内容比较新，Spring下载的-Blind source separation, the convolutional noise removal, as relatively new, Spring download
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基于最大信噪比的盲源分离算法，可以用来和其它算法进行比较-Based on the maximum signal to noise ratio Blind source separation algorithm, and other algorithms can be used to compare
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此程序为自然梯度盲源分离，采用非线性函数-This program is a natural gradient of blind source separation, nonlinear functions
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该算法以全局最优的方式实现盲源分离，程序调用说明：x为观测信号，y为估计信号-The global optimization algorithm to achieve blind source separation approach, the program calls Descr iption: x for the observed signal, y is estimated signals
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一种新的基于峭度的盲源分离开关算法。程序调用说明：该算法程序调用格式为[y,w]=bksa(x),其中x是一个n*T的数据矩阵，y是估计出的源信号矩阵，w是n*n分离矩阵。-A new kurtosis-based switch algorithm for blind source separation. Program calls Note: The algorithm program calls the format [y, w] = bksa (x), where n* T x is a
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Entropy_Optimization for blind source separation
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大纲很简单地独立分量分析理论和盲源分离技术20多年的发展历史，及其程序。-Independent component analysis of the history of the development of the theory and blind source separation technology more than 20 years, and its procedures.
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fastICA可执行程序，用于盲源分离。-fastICA executable program for blind source separation
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盲源分离的快速算法，非常好用，直接调用函数即可使用，-Fast algorithm for blind source separation, very easy to use, can be used directly call the function,
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可进符合信号行的快速盲源分离，进而实现将复杂信号快速分离的效果。-Coincidence signal line fast blind source separation, so as to realize the effect of the rapid separation of the complex signal.
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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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盲源分离的一个很好的例子，可以仿真出来用，稍微修改即可用到多处！-A good example of blind source separation, can be simulated to use, to modify slightly used at many points。
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进行盲源分离,我已经进行验证了，真的很好用，而且功能很强大，很实用。-blind source separation
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里面介绍了很多小波分析、稀疏表示、盲源分离方面的书籍-Which introduced a lot of wavelet analysis, sparse representation and blind source separation of books
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本工具箱描述了非线性盲源分离的原理及算法-This toolkit described the principle and algorithm of nonlinear blind source separation
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ICA算法 实现盲源分离三种信号的分析-Blind Source Separation ICA algorithm analyzes three signals
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jade算法适用于盲源信号的处理分离出有用的信号-jade algorithm for blind source separation of the useful signal processing
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非负独立分量盲源信号的分离方法是一种很简单的盲源分离方法-Non-negative independent component blind source separation method is a very simple blind source separation methods
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基于超平面 欠定盲分离源信号的混合矩阵的估计-underdetermined Blind Source Separation
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