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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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基于信息最大化的盲源分离，采用2路混合超高斯信号，分离效果明显-Based on information maximization blind source separation using 2-way mixed super-Gaussian signal, separation effect is obvious
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Application of Blind Source Separation in phase acquisition
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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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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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非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数-Nonlinear independent component analysis (ICA) source, mainly for non-linear ICA for blind source separation algorithm function
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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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A Comparative Study of Two Blind Source Separation Approaches to Resolve the Multi-Source Limitation of the Nutating Rising-Sun Reticle Based Optical Trackers
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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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基于fast独立分量分析方法实现盲源分离-Fast independent component analysis method based on blind source separation to achieve
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一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。-Short Time Fourier based time-frequency analysis of blind source separation algorithm, hybrid algorithm is based on convolution. Handling non-stationary source signals.
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这是一个音频时域信号的盲源分离的Matlab程序，效果不错。-This is an audio signal in time domain blind source separation of the Matlab program, the effect is good.
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