搜索资源列表
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基于盲源分离的scilab程序，可编译成matlab，使用时声音信号以及路径自行修改-Blind Source Separation based on the SciLab procedures, which compiled Matlab. the use of voice signal and the path to amend its own
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matlab盲源分离informax程序-Matlab Blind Source Separation procedures informax
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一种bss盲源信号分离的工具包 可以用于盲信号的提取-a blind source separation of the tool kit can be used for Blind Signal Extraction
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在IEEE上下载到的，EMD和盲源分离的经典文章，对EMD的使用，和应用也是大有裨益-in IEEE downloaded to the EMD and Blind Source Separation of the classic article on the use of EMD. and applications are also of great benefit
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Blind Source Separation toolbox, This work has been partly funded by the European project BLIS (IST-1999-14190)
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Nonlinear innovation to blind source separation
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这是一篇ica盲源分离方法的技术文章
Overcomplete 的方法来解决,Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations
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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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利用二阶统计量(不同时延相关矩阵)的非平稳性和信号时序结构特征，能简单估计出线性瞬时混合的盲源信号。但随时延 增-aracteristics of the signal, which difficult to ensure the performance of algorithm. Analysis of the average characteristics of matrix, and the improved algorithm for blind source separation ba
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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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blind source separation in matlab
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一个盲源分离的GUI界面，本程序可完成语音信号的独立分量分析。-A blind source separation GUI interface, this program can be completed independent component analysis of speech signals.
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Entropy_Optimization for blind source separation
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盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音和地震信号处理等领域有着广阔的应用前景。一种基于负熵最大的FastICA算法用于实现盲信号分离。。该方法的基本思路是以非高斯信号为研究究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。
-Blind signal separation is one of the hot topics of signal processing research
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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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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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