搜索资源列表
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fastica matlab工具箱，实现ica盲源分离等操作-fastica matlab toolbox to achieve blind source separation and other operations ica
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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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TFBSS是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。-TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources.
TFBSS is based on the joint-diagonalization of whitened and noise-compensated
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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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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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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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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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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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